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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Nature Portfolio
2021
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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) |
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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 |
work_keys_str_mv |
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