Muñoz Bohollo, L., Porr, B. and Dahiya, R. (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:	https://researchdata.gla.ac.uk/id/eprint/1258
Additional details Additional details Type of data: Code, Image, Spreadsheet, Text Collection period: From To 26 November 2021 23 December 2021 Date: 11 March 2022 Date type: Publication Additional information: 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. Resource language: EN Status: Published Data Publisher: University of Glasgow Copyright holders: University of Glasgow Last Modified: 08 Sep 2023 08:06

Available Files

Data

gla_researchdata_1258.zip gla_researchdata_1258.zip gla_researchdata_1258.zip Visible to: Anyone Content type: Data Metadata Revision: 2 Mime-Type: application/zip License: Creative Commons: Attribution 4.0 File size: 1GB

Read me

README.txt README.txt README.txt Visible to: Anyone Content type: Read me Metadata Revision: 2 Mime-Type: text/plain License: Creative Commons: Attribution 4.0 File size: 3kB

Repository Staff Only: Update this record