D. Ali asked . 2022-04-09

extract data from EEG text file

I need help to write script to exatrct MCAP samples with time it occured in seaerate file and plot so I can use these sampes ton signal procsing application on maltlb this is only art of the data , the file contains tens of CAP samples so need genaral code to exatrrct them

      Time       Date     Sample #  Type  Sub Chan  Num	Aux
[22:16:05.000 01/01/2007]        0     "    0    0    0	## time resolution: 256
[22:16:05.000 01/01/2007]        0          0    0    0
[22:34:35.000 01/01/2007]   284160     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:35:05.000 01/01/2007]   291840     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:35:35.000 01/01/2007]   299520     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:36:05.000 01/01/2007]   307200     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:36:35.000 01/01/2007]   314880     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:37:05.000 01/01/2007]   322560     "    0    0    0	SLEEP-S1 30 S1 ROC-LOC
[22:37:35.000 01/01/2007]   330240     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:38:05.000 01/01/2007]   337920     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:38:35.000 01/01/2007]   345600     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:39:05.000 01/01/2007]   353280     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:39:35.000 01/01/2007]   360960     "    0    0    0	SLEEP-S1 30 S1 ROC-LOC
[22:40:05.000 01/01/2007]   368640     "    0    0    0	SLEEP-S1 30 S1 ROC-LOC
[22:40:35.000 01/01/2007]   376320     "    0    0    0	SLEEP-S0 30 W ROC-LOC
[22:41:05.000 01/01/2007]   384000     "    0    0    0	SLEEP-S1 30 S1 ROC-LOC
[22:41:35.000 01/01/2007]   391680     "    0    0    0	SLEEP-S1 30 S1 ROC-LOC
[22:41:37.000 01/01/2007]   392192     "    0    0    0	MCAP-A3 17 S1 EEG-F4-C4
[22:41:57.000 01/01/2007]   397312     "    0    0    0	MCAP-A3 9 S1 EEG-F4-C4
[22:42:05.000 01/01/2007]   399360     "    0    0    0	SLEEP-S2 30 S2 ROC-LOC
[22:42:13.000 01/01/2007]   401408     "    0    0    0	MCAP-A3 11 S2 EEG-F4-C4
[22:42:28.000 01/01/2007]   405248     "    0    0    0	MCAP-A3 23 S2 EEG-F4-C4
[22:42:35.000 01/01/2007]   407040     "    0    0    0	SLEEP-S2 30 S2 ROC-LOC
[22:42:57.000 01/01/2007]   412672     "    0    0    0	MCAP-A3 10 S2 EEG-F4-C4
[22:43:05.000 01/01/2007]   414720     "    0    0    0	SLEEP-S2 30 S2 ROC-LOC
[22:43:11.000 01/01/2007]   416256     "    0    0    0	MCAP-A2 6 S2 EEG-F4-C

eeg , matlab , extract , AI, Data Science, and Statistics , Text Analytics Toolbox

Expert Answer

John Williams answered . 2024-12-21 15:14:09

Using the data text file that you provided elsewhere (renamed and attached to this answer), here is a short example of one way to parse it. Note that it is not the best way, but it is good enough for starting the discussion:

buffer = fileread( 'data01.txt' ) ;
pattern = '\[([^\]]+).\s+(\d+)\s+"\s+(\d+)\s+(\d+)\s+(\d)+\s+MCAP-(\S+)\s+(\S+)\s+(\S+)\s+(\S+)' ;
data = regexp( buffer, pattern, 'tokens' ) ;
data = vertcat( data{:} ) ;

Running it outputs a cell array of 830 rows associated with MCAP entries, as follows:

I updated the pattern so REGEXP extracts all other "numeric" columns.

>> data
data =
  830×9 cell array

    {'22:41:37.000 01…'}    {'392192' }    {'0'}    {'0'}    {'0'}    {'A3'}    {'17'}    {'S1'}    {'EEG-F4-C4' }
    {'22:41:57.000 01…'}    {'397312' }    {'0'}    {'0'}    {'0'}    {'A3'}    {'9' }    {'S1'}    {'EEG-F4-C4' }
    {'22:42:13.000 01…'}    {'401408' }    {'0'}    {'0'}    {'0'}    {'A3'}    {'11'}    {'S2'}    {'EEG-F4-C4' }
    {'22:42:28.000 01…'}    {'405248' }    {'0'}    {'0'}    {'0'}    {'A3'}    {'23'}    {'S2'}    {'EEG-F4-C4' }
    ...
    {'07:08:22.000 02…'}    {'8175872'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'8' }    {'S4'}    {'EEG-F4-C4' }
    {'07:11:27.000 02…'}    {'8223232'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'8' }    {'S4'}    {'EEG-Fp2-F4'}
    {'07:12:08.000 02…'}    {'8233728'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'6' }    {'S4'}    {'EEG-Fp2-F4'}
    {'07:18:31.000 02…'}    {'8331776'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'6' }    {'S4'}    {'EEG-F4-C4' }
    {'07:18:53.000 02…'}    {'8337408'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'7' }    {'S4'}    {'EEG-F4-C4' }
    {'07:19:27.000 02…'}    {'8346112'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'15'}    {'S4'}    {'EEG-F4-C4' }
    {'07:20:29.000 02…'}    {'8361984'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'11'}    {'S4'}    {'EEG-F4-C4' }
    {'07:20:48.000 02…'}    {'8366848'}    {'0'}    {'0'}    {'0'}    {'A1'}    {'12'}    {'S4'}    {'EEG-F4-C4' }

Now depending what you want to accomplish, you may prefer using a TIMETABLE or a TIMESERIES object, or just some conversion of these columns.

So now you should define which part of the data you are interested in, and how you are planning to process it.

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