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Home/ Questions/Q 8155899
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Editorial Team
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Editorial Team
Asked: June 6, 20262026-06-06T16:47:56+00:00 2026-06-06T16:47:56+00:00

Excuse if this is more a file format conversion question rather than programming, but

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Excuse if this is more a file format conversion question rather than programming, but I can’t find anyone who can help extract the embedded .bdf (bio signals format) data from this .set file

http://statigrafix.com/temp/EEG-set/Target_1.set

Which seems from the header to have been generated from MATLAB 5.

I’ve asked colleagues at San Diego Supercomputing Center and CALIT2 but no luck yet. Can someone somewhere in the world figure it out?

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  1. Editorial Team
    Editorial Team
    2026-06-06T16:47:57+00:00Added an answer on June 6, 2026 at 4:47 pm

    That looks like an EEGLAB dataset file, which is simply a regular MAT-file with a structure variable stored inside. This structure contains various info about the biosignals.

    You could manually load the data using LOAD function, or use the provided GUI to open the dataset.

    >> load Target_1.set -mat
    >> EEG
    EEG = 
                 setname: 'Target_1'
                filename: 'Target_1.set'
                filepath: '/home/julie/FiveBox_JO'
                 subject: ''
                   group: ''
               condition: ''
                 session: []
                comments: [1x803 char]
                  nbchan: 238
                  trials: 1
                    pnts: 99129
                   srate: 256
                    xmin: 0
                    xmax: 387.22
                   times: []
                    data: [238x99129 single]
                  icaact: []
                 icawinv: [238x238 double]
               icasphere: [238x238 double]
              icaweights: [238x238 double]
             icachansind: [1x238 double]
                chanlocs: [1x238 struct]
              urchanlocs: []
                chaninfo: [1x1 struct]
                     ref: 'common'
                   event: [1x616 struct]
                 urevent: [1x18879 struct]
        eventdescription: {''  ''  ''  ''}
                   epoch: []
        epochdescription: {}
                  reject: [1x1 struct]
                   stats: [1x1 struct]
                specdata: []
              specicaact: []
              splinefile: ''
           icasplinefile: ''
                  dipfit: [1x1 struct]
                 history: [1x1022 char]
                   saved: 'yes'
                     etc: []
    
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