This GIT respository contains all files needed for an adequate analysis of the gait (6MWT) accelerometer data.
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 function [ResultStruct] = CalculateStrideParametersFunc(dataAccCut_filt,FS,ApplyRemoveSteps,dataAcc,dataAcc_filt,StrideTimeRange) %% Calculate stride parameters ResultStruct = struct; % create empty struct % Run function AutoCorrStrides, Outcomeparameters: StrideRegularity,RelativeStrideVariability,StrideTimeSamples,StrideTime [ResultStruct] = AutocorrStrides(dataAccCut_filt,FS, StrideTimeRange,ResultStruct); StrideTimeSamples = ResultStruct.StrideTimeSamples; % needed as input for other functions % Calculate Step symmetry --> method 1 ij = 1; dirSymm = [1,3]; % 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. for jk=1:length(dirSymm) [C, lags] = AutocorrRegSymmSteps(dataAccCut_filt(:,dirSymm(jk))); [Ad,p] = findpeaks(C,'MinPeakProminence',0.2, 'MinPeakHeight', 0.2); if size(Ad,1) > 1 Ad1 = Ad(1); Ad2 = Ad(2); GaitSymm(:,ij) = abs((Ad1-Ad2)/mean([Ad1+Ad2]))*100; else GaitSymm(:,ij) = NaN; end ij = ij +1; end % Save outcome in struct; ResultStruct.GaitSymm_V = GaitSymm(1); ResultStruct.GaitSymm_AP = GaitSymm(2); % Calculate Step symmetry --> method 2 [PksAndLocsCorrected] = StepcountFunc(dataAccCut_filt,StrideTimeSamples,FS); LocsSteps = PksAndLocsCorrected(2:2:end,2); if rem(size(LocsSteps,1),2) == 0; % is number of steps is even LocsSteps2 = LocsSteps(1:2:end); else LocsSteps2 = LocsSteps(3:2:end); end LocsSteps1 = LocsSteps(2:2:end); DiffLocs2 = diff(LocsSteps2); DiffLocs1 = diff(LocsSteps1); StepTime2 = DiffLocs2(1:end-1)/FS; % leave last one out because it is higher StepTime1 = DiffLocs1(1:end-1)/FS; SI = abs((2*(StepTime2-StepTime1))./(StepTime2+StepTime1))*100; ResultStruct.GaitSymmIndex = nanmean(SI); end