Average of every nth value in a vector

I'm working on a project that will be measuring heart rate over long periods of time (8+ hours), and the data will be sampled every 0.1s. This will give me far more data than I would like/need! I'm looking to average the data to give me HR every 1 minute. The example data set that I'm working with at the moment is a vector of 137255x1 and I want to be able to average every 600 values. Is it possible to do this?

Thank you in advance!

Answer 1

[Matt J]

tmp=conv(yourvector, ones(600,1)/600,'valid');
result=tmp(1:600:end)

Answer 2

[Andrei Bobrov]

Let A - your array 137255 x 1

n = numel(A);
TT = timetable(A,'RowTimes',(0:n-1)'*saconds(.1));
out = retime(TT,'minutely','mean');

or

i = ceil((1:numel(A))'/600);
out = accumarray(i,A,[],@mean);

[Bethany Skinner]

Thanks for your answer - I've tried the first option and it returns the following error when running the final line:

"Error using timetable/retime. All variables in inpur timetables must be numeric, datetime, or duration when synchronizing using 'mean'."

Would you know how to fix this?

[Andrei Bobrov]

Please attach small interval of your "The example data..." as mat-file.