Segmenting EEG data into 1 second segments

I have a EEG timeseries called ts which has a total length of 600 seconds.

Common Properties:

Name: 'unnamed'

Time: [239766x1 double]

TimeInfo: tsdata.timemetadata

Data: [1x1x239766 double]

DataInfo: tsdata.datametadata

I would like to split the data tsout into 1s windows. For instance ts1 has data from 0-1s and ts2 has data from 1-2s and so forth.

This is the code I have used.

for i=1:600

ts{i} = getsampleusingtime(ts,i-1,i)

end

This is the error I have got.

Unable to perform assignment because brace indexing is not supported for variables of this type.

Answer 1

[Cris LaPierre]

The issue is the curly braces. Use parentheses instead.

for i=1:600
 tsout(i) = getsampleusingtime(ts,i-1,i);
end

[Shamus Sim]

I get tsout to be a timeseries object which has 1x600 timeseries.

However, this is how I would like to change the data. I would like to split the data tsout into 1s windows. For instance ts1 has data from 0-1s and ts2 has data from 1-2s and so forth.

Thank you Cris!

[Cris LaPierre]

That is what you get out. The question, I guess, is what format would you like it in? Here, you would access the first second of data using tsout(1).Data, the second second using tsout(2).Data, etc.

I did notice that getsampleusingtime includes data with timeval >= starttime and <= endtime. This means data on the edges are included in 2 bins - when the time is the endtime in one group and the starttime in another.