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1944 lines
76 KiB
1944 lines
76 KiB
% This LaTeX was auto-generated from MATLAB code. |
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% To make changes, update the MATLAB code and export to LaTeX again. |
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\documentclass{article} |
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\usepackage[utf8]{inputenc} |
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\usepackage[T1]{fontenc} |
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\usepackage{lmodern} |
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\usepackage{graphicx} |
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\usepackage{color} |
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\usepackage{hyperref} |
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\usepackage{amsmath} |
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\usepackage{amsfonts} |
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\usepackage{epstopdf} |
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\usepackage[table]{xcolor} |
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\usepackage{matlab} |
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\sloppy |
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\epstopdfsetup{outdir=./} |
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\graphicspath{ {./GaitVariabilityAnalysisLD_images/} } |
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\matlabhastoc |
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\begin{document} |
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\label{T_D37184EE} |
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\matlabtitle{Gait Variability Analysis CLBP} |
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\matlabtableofcontents{Table of Contents} |
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\begin{matlabcode} |
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% Gait Variability Analysis |
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% Script created for MAP 2020-2021 |
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% adapted from Claudine Lamoth and Iris Hagoort |
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% version1 October 2020 |
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% Input: needs mat file which contains all raw accelerometer data |
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% Input: needs excel file containing the participant information including |
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% leg length. |
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\end{matlabcode} |
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\label{H_7D86BAF1} |
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\matlabheading{Clear and close;} |
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\begin{matlabcode} |
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clear; |
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close all; |
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\end{matlabcode} |
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\label{H_82614DF8} |
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\matlabheading{Load data;} |
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\begin{par} |
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\begin{flushleft} |
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Select 1 trial. \textbf{For loop to import all data will be used at a later stage} |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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[FNaam,FilePad] = uigetfile('*.xls','Load phyphox data...'); |
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filename =[FilePad FNaam]; |
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PhyphoxData = xlsread(filename) |
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\end{matlabcode} |
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\begin{matlaboutput} |
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PhyphoxData = 24092x4 |
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0 0.4018 -8.5041 4.8779 |
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0.0100 0.3962 -8.4703 4.7944 |
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0.0199 0.4335 -8.4378 4.7159 |
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0.0299 0.5209 -8.3889 4.6266 |
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0.0399 0.6495 -8.3796 4.5437 |
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0.0498 0.7528 -8.3817 4.4288 |
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0.0598 0.8820 -8.3622 4.3134 |
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0.0697 0.9841 -8.4321 4.2221 |
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0.0797 1.1041 -8.5237 4.1916 |
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0.0897 1.1959 -8.5418 4.1310 |
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\end{matlaboutput} |
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\begin{matlabcode} |
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%load('Phyphoxdata.mat'); % loads accelerometer data, is stored in struct with name AccData |
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%load('ExcelInfo.mat'); |
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%Participants = fields(AccData); |
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\end{matlabcode} |
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\label{H_04FF0795} |
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\matlabheading{Settings;} |
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\begin{matlabcode} |
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LegLength = 98 % LegLength info not available! |
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\end{matlabcode} |
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\begin{matlaboutput} |
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LegLength = 98 |
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\end{matlaboutput} |
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\begin{matlabcode} |
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%LegLengths = excel.data.GeneralInformation(:,5); % leglength info is in 5th column |
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LegLengthsM = LegLength/100; % convert to m |
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t1 = length(PhyphoxData(:,1)); % Number of Samples |
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FS = 100; % sample frequency |
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Time_ms = PhyphoxData(:,1); |
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accX = PhyphoxData(:,2); |
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accY = PhyphoxData(:,3); |
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accZ = PhyphoxData(:,4); |
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AccData = (PhyphoxData(:,[1 2 3 4])); % matrix with accelerometer data |
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Start = 1; % Start time (s) for plot |
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End = 60; % End time (s) for plot |
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T1 = Start*FS; % Start time calculated from Hz |
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T2 = End*FS; % End time calculated from Hz |
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c = (Start:(1/FS):End)'; % Time STEPSIZE = 1/100 |
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\end{matlabcode} |
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\label{H_A9CB60AB} |
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\matlabheading{Plot the data;} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{(1) first step in notebook} |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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1st column is time data (ms) |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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2nd column is X, medio-lateral: + left, - right |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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3rd column is Y, vertical: + downwards, - upwards |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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4th column is Z, anterior- posterior : + forwards, - backwards |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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AccX = accX(T1:T2); % Signal over timeframe |
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AccY = accY(T1:T2); % Signal over timeframe |
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AccZ = accZ(T1:T2); % Signal over timeframe |
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figure(1); |
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plot(c,AccX,c,AccY,c,AccZ); % Plot signal over timeframe |
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title('acc signal not filtered - First Minute') |
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xlabel('Time (s)'); |
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ylabel('acceleration (g)'); |
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legend('X - ML','Y - Vertical','Z - AP') |
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\end{matlabcode} |
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\begin{center} |
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\includegraphics[width=\maxwidth{56.196688409433015em}]{figure_0.eps} |
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\end{center} |
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\label{H_77261343} |
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\matlabheading{\includegraphics[width=\maxwidth{37.431008529854495em}]{image_0}} |
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\label{H_4A6AF4FC} |
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\vspace{1em} |
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\label{H_CA962223} |
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\matlabheading{Calculate parameters;} |
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\begin{par} |
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\begin{flushleft} |
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calculate only for the first participant; |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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inputData = AccData; |
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WindowLength = FS*10; % why FS*10? |
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ApplyRealignment = true; % reorder data to 1 = V; 2= ML, 3 = AP |
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ApplyRemoveSteps = false; % if true - removes first 30 and last 30 steps |
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[ResultStruct] = GaitOutcomesTrunkAccFuncIH(inputData,FS,LegLength,WindowLength,ApplyRealignment,ApplyRemoveSteps) |
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\end{matlabcode} |
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\begin{matlaboutput} |
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ResultStruct = |
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StrideRegularity_V: 0.3908 |
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StrideRegularity_ML: 0.4191 |
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StrideRegularity_AP: 0.1101 |
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StrideRegularity_All: 0.3529 |
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RelativeStrideVariability_V: 0.6092 |
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RelativeStrideVariability_ML: 0.5809 |
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RelativeStrideVariability_AP: 0.8899 |
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RelativeStrideVariability_All: 0.6471 |
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StrideTimeSamples: 132 |
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StrideTimeSeconds: 1.3200 |
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GaitSymm_V: 16.8830 |
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GaitSymm_AP: NaN |
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GaitSymmIndex: 2.8065 |
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StepLengthMean: 11.5894 |
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Distance: 1.8825e+03 |
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WalkingSpeedMean: 7.8279 |
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StrideTimeVariability: 0.1931 |
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StrideSpeedVariability: 1.1210 |
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StrideLengthVariability: 0.7532 |
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StrideTimeVariabilityOmitOutlier: 14.7357 |
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StrideSpeedVariabilityOmitOutlier: 0.8713 |
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StrideLengthVariabilityOmitOutlier: 0.4511 |
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IndexHarmonicity_V: 0.6094 |
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IndexHarmonicity_ML: 0.8041 |
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IndexHarmonicity_AP: 0.9122 |
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IndexHarmonicity_All: 0.6742 |
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HarmonicRatio_V: 2.4928 |
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HarmonicRatio_ML: 2.8449 |
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HarmonicRatio_AP: 1.6364 |
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HarmonicRatioP_V: 9.1114 |
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HarmonicRatioP_ML: 14.1449 |
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HarmonicRatioP_AP: 5.6995 |
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FrequencyVariability_V: 0.5234 |
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FrequencyVariability_ML: 0.6435 |
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FrequencyVariability_AP: 0.6281 |
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StrideFrequency: 0.7367 |
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LyapunovWolf_V: 1.3653 |
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LyapunovWolf_ML: 1.1477 |
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LyapunovWolf_AP: 1.4231 |
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LyapunovRosen_V: 1.0151 |
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LyapunovRosen_ML: 0.7871 |
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LyapunovRosen_AP: 0.9792 |
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SampleEntropy_V: 0.1999 |
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SampleEntropy_ML: 0.2537 |
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SampleEntropy_AP: 0.2710 |
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LyapunovPerStrideWolf_V: 1.8534 |
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LyapunovPerStrideWolf_ML: 1.5579 |
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LyapunovPerStrideWolf_AP: 1.9318 |
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LyapunovPerStrideRosen_V: 1.3780 |
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LyapunovPerStrideRosen_ML: 1.0685 |
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LyapunovPerStrideRosen_AP: 1.3292 |
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\end{matlaboutput} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{output:} |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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- \underline{NaN GaitSymm\_V: } |
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\end{flushleft} |
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\end{par} |
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\begin{itemize} |
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\setlength{\itemsep}{-1ex} |
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\item{\begin{flushleft} Gait Synmmetry is only informative in AP/V direction: See Tura A, Raggi M, Rocchi L, Cutti AG, Chiari L: Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations. J Neuroeng Rehabil 2010, 7:4 \end{flushleft}} |
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\end{itemize} |
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\begin{par} |
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\begin{flushleft} |
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- SampEn has two advantages over ApEn: data length independence and a relatively trouble-free implementation. |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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- Some Settings ResulStruct |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{IgnoreMinMaxStrides = 0.10; } \% Number or percentage of highest\&lowest values ignored for improved variability estimation |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{N\_Harm = 12; } \% Number of harmonics used for harmonic ratio, index of harmonicity and phase fluctuation |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{Lyap\_m = 7; } \% Embedding dimension (used in Lyapunov estimations) |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{Lyap\_FitWinLen} = round(60/100*FS); \% Fitting window length (used in Lyapunov estimations Rosenstein's method) |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{Sen\_m = 5;} \% Dimension, the length of the subseries to be matched (used in sample entropy estimation) |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{Sen\_r = 0.3;} \% Tolerance, the maximum distance between two samples to qualify as match, relative to std of DataIn (used in sample entropy estimation) |
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\end{flushleft} |
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\end{par} |
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\label{H_2EA43FAC} |
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\matlabheadingtwo{Index of harmonicity (Lamoth et al. 2002)} |
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\begin{par} |
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\begin{flushleft} |
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by means of a discrete Fourier transform (DFT). The peak power at the first six harmonics was estimated and, subsequently, the index of harmonicity was defined as ; \textbf{FORMULA} |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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where P0 is the power spectral density of the fundamental frequency (first harmonic) and \$ Pi the cumulative sum of power spectral density of the fundamental frequency and the first five superharmonics. A power ratio of 1 indicates that the rotation of the pelvis or the thorax is perfectly harmonic. In view of possible drift, which could lead to missing or widening peaks, the power spectral density of each peak was calculated within the frequency bands of +0.1 and −0.1 Hz of the peak frequency value. All power spectral densities were normalized by dividing the power by the sum of the total power spectrum, which equals the variance. |
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\end{flushleft} |
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\end{par} |
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\label{H_3E396779} |
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\matlabheadingtwo{Lyapunov exponents (Wolfs vs. Rosenstein)} |
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\label{H_B1B85E8D} |
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\begin{par} |
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\begin{flushleft} |
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The W-algorithm is advocated for use when examining local dynamic stability with small gait data sets. |
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\end{flushleft} |
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\end{par} |
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\label{H_9FD2A70A} |
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\matlabheading{Visualize step detection;} |
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\begin{par} |
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\begin{flushleft} |
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function [ResultStruct] = GaitVariabilityAnalysisIH\_WithoutTurns(inputData,FS,LegLength,ApplyRealignment,ApplyRemoveSteps); |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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\textbf{script for analysing straight parts} |
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\end{flushleft} |
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\end{par} |
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\begin{par} |
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\begin{flushleft} |
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(1) Realign Data |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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%% Realign data |
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data = inputData(:, [3,2,4]); % reorder data to 1 = V; 2= ML, 3 = AP |
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%Realign sensor data to VT-ML-AP frame |
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if ApplyRealignment % apply relignment as described in Rispens S, Pijnappels M, van Schooten K, Beek PJ, Daffertshofer A, van Die?n JH (2014). |
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% Consistency of gait characteristics as determined from acceleration data collected at different trunk locations. Gait Posture 2014;40(1):187-92. |
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[RealignedAcc, ~] = RealignSensorSignalHRAmp(data, FS); |
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dataAcc = RealignedAcc; |
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end |
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\end{matlabcode} |
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\begin{par} |
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\begin{flushleft} |
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(2) Filter Data |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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%% Filter data strongly & Determine location of steps |
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% Filter data |
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[B,A] = butter(2,3/(FS/2),'low'); % Filters data very strongly which is needed to determine turns correctly |
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dataStepDetection = filtfilt(B,A,dataAcc); |
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\end{matlabcode} |
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\begin{par} |
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\begin{flushleft} |
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(3) Determine Location of steps |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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% Determine steps; |
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%%%%%%% HIER MISSCHIEN ALTERNATIEF VOOR VAN RISPENS %%%%%%%%%%%%% |
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% Explanation of method: https://nl.mathworks.com/help/supportpkg/beagleboneblue/ref/counting-steps-using-beagleboneblue-hardware-example.html |
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% From website: To convert the XYZ acceleration vectors at each point in time into scalar values, |
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% calculate the magnitude of each vector. This way, you can detect large changes in overall acceleration, |
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% such as steps taken while walking, regardless of device orientation. |
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magfilt = sqrt(sum((dataStepDetection(:,1).^2) + (dataStepDetection(:,2).^2) + (dataStepDetection(:,3).^2), 2)); |
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magNoGfilt = magfilt - mean(magfilt); |
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minPeakHeight2 = std(magNoGfilt); |
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[pks, locs] = findpeaks(magNoGfilt, 'MINPEAKHEIGHT', minPeakHeight2); % for step detection |
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numStepsOption2_filt = numel(pks); % counts number of steps; |
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\end{matlabcode} |
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\begin{par} |
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\begin{flushleft} |
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(4) Determine location of turns |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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%% Determine locations of turns; |
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diffLocs = diff(locs); % calculates difference in step location |
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avg_diffLocs = mean(diffLocs); % average distance between steps |
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std_diffLocs = std(diffLocs); % standard deviation of distance between steps |
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figure(2); |
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findpeaks(diffLocs, 'MINPEAKHEIGHT', avg_diffLocs, 'MINPEAKDISTANCE',5); % these values have been chosen based on visual inspection of the signal |
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line([1 length(diffLocs)],[avg_diffLocs avg_diffLocs]) |
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\end{matlabcode} |
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\begin{center} |
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\includegraphics[width=\maxwidth{56.196688409433015em}]{figure_1.eps} |
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\end{center} |
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\begin{matlabcode} |
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[pks_diffLocs, locs_diffLocs] = findpeaks(diffLocs, 'MINPEAKHEIGHT', avg_diffLocs,'MINPEAKDISTANCE',5); |
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locsTurns = [locs(locs_diffLocs), locs(locs_diffLocs+1)]; |
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\end{matlabcode} |
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\begin{par} |
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\begin{flushleft} |
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(5) Visualize turns |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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%% Visualizing turns |
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% Duplying signal + visualing |
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% to make second signal with the locations of the turns filled with NaN, so |
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% that both signals can be plotted above each other in a different colour |
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magNoGfilt_copy = magNoGfilt; |
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for k = 1: size(locsTurns,1); |
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magNoGfilt_copy(locsTurns(k,1):locsTurns(k,2)) = NaN; |
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end |
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% visualising signal; |
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figure; |
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subplot(2,1,1) |
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hold on; |
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plot(magNoGfilt,'b') |
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plot(magNoGfilt_copy, 'r'); |
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title('Inside Straight: Filtered data with turns highlighted in blue') |
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hold off; |
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\end{matlabcode} |
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\begin{center} |
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\includegraphics[width=\maxwidth{56.196688409433015em}]{figure_2.eps} |
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\end{center} |
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\begin{matlabcode} |
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\end{matlabcode} |
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\begin{par} |
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\begin{flushleft} |
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(6) CALCULATIONS |
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\end{flushleft} |
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\end{par} |
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\begin{matlabcode} |
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%% Calculation |
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% VRAAG LAURENS zie blauwe blaadje |
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startPos = 1; |
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for i = 1: size(locsTurns,1); |
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endPos = locsTurns(i,1)-1; |
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inputData = dataAcc(startPos:endPos,:); |
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WindowLen = size(inputData,1); |
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ApplyRealignment = false; |
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[ResultStruct] = GaitOutcomesTrunkAccFuncIH(inputData,FS,LegLength,WindowLen,ApplyRealignment,ApplyRemoveSteps); % Naam van deze moet nog aangepast. |
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if i ==1 % only the firs time |
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Parameters = fieldnames(ResultStruct); |
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NrParameters = length(Parameters); |
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end |
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for j = 1:NrParameters % only works if for every bin we get the same outcomes (which is the case in this script) |
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DataStraight.([char(Parameters(j))])(i) = ResultStruct.([char(Parameters(j))]); |
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end |
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startPos = locsTurns(i,2)+1; |
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end |
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clear ResultStruct; |
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% Calculate mean over the bins without turns to get 1 outcome value per parameter for inside |
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% straight; |
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for j = 1:NrParameters; |
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ResultStruct.([char(Parameters(j))]) = nanmean(DataStraight.([char(Parameters(j))])) |
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end |
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\end{matlabcode} |
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\begin{matlaboutput} |
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ResultStruct = |
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StrideRegularity_V: 0.9005 |
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ResultStruct = |
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StrideRegularity_V: 0.9005 |
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StrideRegularity_ML: 0.7110 |
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ResultStruct = |
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StrideRegularity_V: 0.9005 |
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StrideRegularity_ML: 0.7110 |
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StrideRegularity_AP: 0.6643 |
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ResultStruct = |
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StrideRegularity_V: 0.9005 |
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StrideRegularity_ML: 0.7110 |
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StrideRegularity_AP: 0.6643 |
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StrideRegularity_All: 0.7765 |
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ResultStruct = |
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StrideRegularity_V: 0.9005 |
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StrideRegularity_ML: 0.7110 |
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StrideRegularity_AP: 0.6643 |
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StrideRegularity_All: 0.7765 |
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RelativeStrideVariability_V: 0.0995 |
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ResultStruct = |
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StrideRegularity_V: 0.9005 |
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StrideRegularity_ML: 0.7110 |
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StrideRegularity_AP: 0.6643 |
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StrideRegularity_All: 0.7765 |
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RelativeStrideVariability_V: 0.0995 |
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RelativeStrideVariability_ML: 0.2890 |
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ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
SampleEntropy_AP: 0.2608 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
SampleEntropy_AP: 0.2608 |
|
LyapunovPerStrideWolf_V: 2.3378 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
SampleEntropy_AP: 0.2608 |
|
LyapunovPerStrideWolf_V: 2.3378 |
|
LyapunovPerStrideWolf_ML: 2.0830 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
SampleEntropy_AP: 0.2608 |
|
LyapunovPerStrideWolf_V: 2.3378 |
|
LyapunovPerStrideWolf_ML: 2.0830 |
|
LyapunovPerStrideWolf_AP: 2.4095 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
SampleEntropy_AP: 0.2608 |
|
LyapunovPerStrideWolf_V: 2.3378 |
|
LyapunovPerStrideWolf_ML: 2.0830 |
|
LyapunovPerStrideWolf_AP: 2.4095 |
|
LyapunovPerStrideRosen_V: 1.5914 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
SampleEntropy_AP: 0.2608 |
|
LyapunovPerStrideWolf_V: 2.3378 |
|
LyapunovPerStrideWolf_ML: 2.0830 |
|
LyapunovPerStrideWolf_AP: 2.4095 |
|
LyapunovPerStrideRosen_V: 1.5914 |
|
LyapunovPerStrideRosen_ML: 1.2964 |
|
|
|
ResultStruct = |
|
StrideRegularity_V: 0.9005 |
|
StrideRegularity_ML: 0.7110 |
|
StrideRegularity_AP: 0.6643 |
|
StrideRegularity_All: 0.7765 |
|
RelativeStrideVariability_V: 0.0995 |
|
RelativeStrideVariability_ML: 0.2890 |
|
RelativeStrideVariability_AP: 0.3357 |
|
RelativeStrideVariability_All: 0.2235 |
|
StrideTimeSamples: 217.5556 |
|
StrideTimeSeconds: 2.1756 |
|
GaitSymm_V: 5.7952 |
|
GaitSymm_AP: 7.0128 |
|
GaitSymmIndex: 2.3916 |
|
StepLengthMean: 11.9893 |
|
Distance: 83.0819 |
|
WalkingSpeedMean: 6.1785 |
|
StrideTimeVariability: 0.0200 |
|
StrideSpeedVariability: 0.1990 |
|
StrideLengthVariability: 0.5502 |
|
StrideTimeVariabilityOmitOutlier: 6.0071 |
|
StrideSpeedVariabilityOmitOutlier: 0.2542 |
|
StrideLengthVariabilityOmitOutlier: 0.3722 |
|
IndexHarmonicity_V: 0.4981 |
|
IndexHarmonicity_ML: 0.7579 |
|
IndexHarmonicity_AP: 0.8968 |
|
IndexHarmonicity_All: 0.6349 |
|
HarmonicRatio_V: 3.6118 |
|
HarmonicRatio_ML: 3.4148 |
|
HarmonicRatio_AP: 2.5141 |
|
HarmonicRatioP_V: 21.1829 |
|
HarmonicRatioP_ML: 19.5829 |
|
HarmonicRatioP_AP: 12.5052 |
|
FrequencyVariability_V: 0.2160 |
|
FrequencyVariability_ML: 0.4381 |
|
FrequencyVariability_AP: 0.1981 |
|
StrideFrequency: 0.6364 |
|
LyapunovWolf_V: 1.4401 |
|
LyapunovWolf_ML: 1.2904 |
|
LyapunovWolf_AP: 1.5238 |
|
LyapunovRosen_V: 0.9931 |
|
LyapunovRosen_ML: 0.8064 |
|
LyapunovRosen_AP: 1.0984 |
|
SampleEntropy_V: 0.2014 |
|
SampleEntropy_ML: 0.2358 |
|
SampleEntropy_AP: 0.2608 |
|
LyapunovPerStrideWolf_V: 2.3378 |
|
LyapunovPerStrideWolf_ML: 2.0830 |
|
LyapunovPerStrideWolf_AP: 2.4095 |
|
LyapunovPerStrideRosen_V: 1.5914 |
|
LyapunovPerStrideRosen_ML: 1.2964 |
|
LyapunovPerStrideRosen_AP: 1.7481 |
|
|
|
\end{matlaboutput} |
|
|
|
\label{H_4847D0D3} |
|
\matlabheading{AggregateFunction;} |
|
|
|
\end{document}
|
|
|