EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks

1258 38 5203 2 26474 document 5203 gla_researchdata_1258.zip application/zip 6171188c809d3bfc15342550a5797e5e MD5 1586502348 2022-04-01 13:35:03 https://researchdata.gla.ac.uk/1258/3/gla_researchdata_1258.zip 1258 3 3 application/zip Mixed en public cc_by_4

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data 5538 2 29124 document 5538 README.txt text/plain 52812b9bd41c211b1338f2ecfbb68f1f MD5 3503 2022-11-10 09:24:03 https://researchdata.gla.ac.uk/1258/4/README.txt 1258 4 4 text/plain Text en public cc_by_4

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readme 5539 1 29127 document 5539 indexcodes.txt text/plain 595c2b83c150b1e4c12e3cd56d516284 MD5 1381 2022-11-10 09:24:24 https://researchdata.gla.ac.uk/1258/5/indexcodes.txt 1258 5 5 text/plain other Generate index codes conversion from Text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/5538 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/5538 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/5538 archive 5 disk0/00/00/12/58 2022-03-14 09:17:42 2023-09-08 08:06:48 2022-03-14 14:07:42 data_collection show Muñoz Bohollo Lucía 63896 Porr Bernd 3000 0000-0001-8157-998X Dahiya Ravinder 30982 0000-0002-3858-3841 glaresearchdata:2022-03-11-1258 EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks pub 30300000 Bugfix: The Evoked Potential was not divided by the number of stimuli and thus just accumulated the voltages but didn't calculate the average. This has been fixed and the file plot_ep.py was updated on 2022-04-01. This database contains EEG and evoked potential recordings from 20 participants. This allows to assess the signal to noise ratio: - Signal: The P300 power and VEP power can be used to assess the signal power - Noise: The signal power consisting of EMG and baseline EEG during the different tasks allows to determine the noise level 2022-03-11 published University of Glasgow 10.5525/gla.researchdata.1258 Code Image Spreadsheet Text University of Glasgow FALSE EN 2021-11-26 2021-12-23 2032-03-14 R other_hosted_service TRUE 300210055 mvls The ethics commitee was the Institute of Neuroscience and Psychology, School of Psychology FALSE Real-time noise cancellation with deep learning https://eprints.gla.ac.uk/id/eprint/285006 BCI-Walls: a robust methodology to predict if conscious EEG changes can be detected in the presence of artefacts https://eprints.gla.ac.uk/id/eprint/304507