Hi,
I am attempting to find the time at which a coordinate marker is >0 using a for-loop for 60 iterations of a walking trial.
I think the issue is not too complex but I am unsure how to tackle it.
[FName,PName,Filterindex] = uigetfile('*.csv*','MultiSelect','on');
numfiles = size(FName,2);
hz=250;
for ii = 1:numfiles
FName{ii}
entirefile=fullfile(PName,FName{ii})
a=importdata(entirefile);
time=a(:,1)/hz;
data=a(:,3:end);
for n=3:size(data,2)
[f,p,ps(:,n)]=SL_pwr(a(:,3:n),hz);
maxps=max(floor(ps));
end
Fd=Filt(a(:,3:end),hz,2,maxps,'low');
t=linspace(time(1),time(end),1001)';
FdNorm=interp1(time,Fd,t,'spline');
Ltemp1=FdNorm(:,114);
Ltemp2=FdNorm(:,120);
Rtemp1=FdNorm(:,141);
Rtemp2=FdNorm(:,147);
Lcalc=[t Ltemp1];
Ltoe=[t Ltemp2];
Rcalc=[t Rtemp1];
Rtoe=[t Rtemp2];
LC0d=Lcalc-Lcalc(1,:);
LT0d=Ltoe-Ltoe(1,:);
RC0d=Rcalc-Lcalc(1,:);
RT0d=Rtoe-Ltoe(1,:);
target=min(LC0d);
vi1=find(LC0d(:,2) > 1);
L_ho=LC0d(vi1,:);
Vi2=find(LT0d(:,2) > 0);
L_to=LT0d(Vi2,:);
end
I am attempting to combine the 60 iterations of the trial into a singular array for the L_ho data set(which has two columns for time and the coordinate data when it is >0). The issue I am having is that because each trial is set at different sizes I cannot combine them - I cannot further time-normalise as I am attempting to find a jump in time to understand kinematic gait events and time-normalising would prevent this.
I have been told about the use of a cell array however I am unsure how to use this, alternatively I have thought about exporting the data into a singular excel document using
xlswrite('L_ho.xlsx',L_ho(ii),sheet1);
but this doesn't call all trials it only calls the final trial in the loop.
Any advice/help is greatly appreciated!