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

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 - Orga...

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Autores principales: Andres Jaramillo-Gonzalez, Shizhe Wu, Alessandro Tonin, Aygul Rana, Majid Khalili Ardali, Niels Birbaumer, Ujwal Chaudhary
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e82a2f3072ab452cad7a7430db757aa3
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spelling oai:doaj.org-article:e82a2f3072ab452cad7a7430db757aa32021-12-02T14:02:34ZA dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state10.1038/s41597-020-00789-42052-4463https://doaj.org/article/e82a2f3072ab452cad7a7430db757aa32021-01-01T00:00:00Zhttps://doi.org/10.1038/s41597-020-00789-4https://doaj.org/toc/2052-4463Measurement(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.13148762Andres Jaramillo-GonzalezShizhe WuAlessandro ToninAygul RanaMajid Khalili ArdaliNiels BirbaumerUjwal ChaudharyNature PortfolioarticleScienceQENScientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Andres Jaramillo-Gonzalez
Shizhe Wu
Alessandro Tonin
Aygul Rana
Majid Khalili Ardali
Niels Birbaumer
Ujwal Chaudhary
A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state
description 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
format article
author Andres Jaramillo-Gonzalez
Shizhe Wu
Alessandro Tonin
Aygul Rana
Majid Khalili Ardali
Niels Birbaumer
Ujwal Chaudhary
author_facet Andres Jaramillo-Gonzalez
Shizhe Wu
Alessandro Tonin
Aygul Rana
Majid Khalili Ardali
Niels Birbaumer
Ujwal Chaudhary
author_sort Andres Jaramillo-Gonzalez
title A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state
title_short A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state
title_full A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state
title_fullStr A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state
title_full_unstemmed A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state
title_sort dataset of eeg and eog from an auditory eog-based communication system for patients in locked-in state
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e82a2f3072ab452cad7a7430db757aa3
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