A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state

Andres Jaramillo-Gonzalez; Shizhe Wu; Alessandro Tonin; Aygul Rana; Majid Khalili Ardali; Niels Birbaumer; Ujwal Chaudhary

doi:10.1038/s41597-020-00789-4

Scientific Data (Jan 2021)

A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state

Andres Jaramillo-Gonzalez,
Shizhe Wu,
Alessandro Tonin,
Aygul Rana,
Majid Khalili Ardali,
Niels Birbaumer,
Ujwal Chaudhary

Affiliations

Andres Jaramillo-Gonzalez: Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen
Shizhe Wu: Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen
Alessandro Tonin: Wyss Center for Bio and Neuroengineering
Aygul Rana: Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen
Majid Khalili Ardali: Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen
Niels Birbaumer: Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen
Ujwal Chaudhary: Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen

DOI: https://doi.org/10.1038/s41597-020-00789-4
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 10

Abstract

Read online

Measurement(s) eye movement measurement • brain measurement • muscle electrophysiology trait Technology Type(s) electrooculography • electroencephalography (EEG) • electromyography Factor Type(s) auditory stimuli • amyotrophic lateral sclerosis patient in locked-in state Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13148762

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

About the journal