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

Munoz Bohollo, L. and Porr, B. (2022) EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks. [Data Collection]

Collection description

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

College / School: College of Science and Engineering > School of Engineering
Date Deposited: 14 Mar 2022 09:17
URI: http://researchdata.gla.ac.uk/id/eprint/1258

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Munoz Bohollo, L. and Porr, B. (2022); EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks

University of Glasgow

DOI: 10.5525/gla.researchdata.1258

Retrieved: 2022-07-06

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