Finding period of EEG (peak2peak)

The dataset im working on is EEG signals. I have a variable tsout which is a timeseries object containing 1x600 timeseries.

The data is arranged so that the each column contains a 1s segment of the total timeseries of length 600s. For instance, col 1 represents 0-1s , col2 represent 1-2s and etc. I would like to find the local maximum in these data.

I used this code:

[pks,locs]=findpeaks(tsout)

and obtained this errors

Error using findpeaks

Expected Y to be one of these types:

double, single

Instead its type was timeseries.

Error in findpeaks>parse_inputs (line 199)

validateattributes(Yin,{'double','single'},{'nonempty','real','vector'},...

Error in findpeaks (line 136)

= parse_inputs(isInMATLAB,Yin,varargin{:});

I would like to successive periods based on the peak2peak time values, for every 1 s of the data adn categorize these T calculated according to their time interval(seconds). For instance Period_1 contains all the successive T from 0-1s and so forth.

I am not sure how to implement this and join it w the code for finding peaks. But was thinking of sth like this.

T{i}=locs(2:end) - locs(1:end-1)

Thank you in advance!

Answer 1

[KSSV]

load("tsout.mat") ;
data = tsout.MCOS ;
[pks,locs]=findpeaks(data) ;

[Shamus Sim]

Thank you for your feedback.

I have this error shown.

Unrecognized method, property, or field 'MCOS' for class 'timeseries'.

Im not quite sure what MCOS means. Would you mind explaining?