This GIT respository contains all files needed for an adequate analysis of the gait (6MWT) accelerometer data.
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function [ResultStruct] = CalculateNonLinearParametersFunc(ResultStruct,dataAccCut,WindowLen,FS,Lyap_m,Lyap_FitWinLen,Sen_m,Sen_r)
%% Calculation non-linear parameters;
% cut into windows of size WindowLen
N_Windows = floor(size(dataAccCut,1)/WindowLen);
N_SkipBegin = ceil((size(dataAccCut,1)-N_Windows*WindowLen)/2);
LyapunovWolf = nan(N_Windows,3);
LyapunovRosen = nan(N_Windows,3);
SE= nan(N_Windows,3);
for WinNr = 1:N_Windows;
AccWin = dataAccCut(N_SkipBegin+(WinNr-1)*WindowLen+(1:WindowLen),:);
for j=1:3
[LyapunovWolf(WinNr,j),~] = CalcMaxLyapWolfFixedEvolv(AccWin(:,j),FS,struct('m',Lyap_m));
[LyapunovRosen(WinNr,j),outpo] = CalcMaxLyapConvGait(AccWin(:,j),FS,struct('m',Lyap_m,'FitWinLen',Lyap_FitWinLen));
[SE(WinNr,j)] = funcSampleEntropy(AccWin(:,j), Sen_m, Sen_r);
% no correction for FS; SE does increase with higher FS but effect is considered negligible as range is small (98-104HZ). Might consider updating r to account for larger ranges.
end
end
LyapunovWolf = nanmean(LyapunovWolf,1);
LyapunovRosen = nanmean(LyapunovRosen,1);
SampleEntropy = nanmean(SE,1);
ResultStruct.LyapunovWolf_V = LyapunovWolf(1);
ResultStruct.LyapunovWolf_ML = LyapunovWolf(2);
ResultStruct.LyapunovWolf_AP = LyapunovWolf(3);
ResultStruct.LyapunovRosen_V = LyapunovRosen(1);
ResultStruct.LyapunovRosen_ML = LyapunovRosen(2);
ResultStruct.LyapunovRosen_AP = LyapunovRosen(3);
ResultStruct.SampleEntropy_V = SampleEntropy(1);
ResultStruct.SampleEntropy_ML = SampleEntropy(2);
ResultStruct.SampleEntropy_AP = SampleEntropy(3);
if isfield(ResultStruct,'StrideFrequency')
LyapunovPerStrideWolf = LyapunovWolf/ResultStruct.StrideFrequency;
LyapunovPerStrideRosen = LyapunovRosen/ResultStruct.StrideFrequency;
end
ResultStruct.LyapunovPerStrideWolf_V = LyapunovPerStrideWolf(1);
ResultStruct.LyapunovPerStrideWolf_ML = LyapunovPerStrideWolf(2);
ResultStruct.LyapunovPerStrideWolf_AP = LyapunovPerStrideWolf(3);
ResultStruct.LyapunovPerStrideRosen_V = LyapunovPerStrideRosen(1);
ResultStruct.LyapunovPerStrideRosen_ML = LyapunovPerStrideRosen(2);
ResultStruct.LyapunovPerStrideRosen_AP = LyapunovPerStrideRosen(3);
end