A 64-channel wireless EEG recording system for wearable applications

Radi Severo, Santiago Nicolas - La Paz Mastandrea, Franco Nicolas - Causa, Martin - Oliver, Juan Pablo - Steinfeld, Leonardo - Oreggioni, Julián

Resumen:

A wireless 64-channel EEG (Electroencephalography) recording system for wearable applications is presented. The aim of this system is to allow the patient to move freely for a reasonable time in a short distance environment, in order to extend the field of application of traditional electroencephalography studies. The system consists of a wireless module located in the patient and a user interface that runs on a PC (Personal Computer). The wireless module is responsible for acquiring EEG signals (amplify, filter and digitize), processing and sending them wirelessly to the PC. The system is capable of acquiring up to 64 EEG signals and 6 synchronism signals for more than 24 hours, with a programmable sampling frequency between 100 Hz and 10 kHz. The system supports four types of system configuration (1, 4, 21 or 64 channels), with a programmable bandpass filter where high-pass frequency can vary between 0.1 Hz and 500 Hz and the low-pass frequency can vary between 100 Hz and 20 kHz. The analog front-end has an input impedance of 1:3G , an input-referred noise of 2:4 Vrms and a common mode rejection ratio of 82 dB. The maximum distance measured between the wireless module and the PC was 12 meters


Detalles Bibliográficos
2018
Wireless communication
Electroencephalography
Wireless fidelity
Electrónica
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/43542
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Radi Severo, Santiago Nicolas
author2 La Paz Mastandrea, Franco Nicolas
Causa, Martin
Oliver, Juan Pablo
Steinfeld, Leonardo
Oreggioni, Julián
author2_role author
author
author
author
author
author_facet Radi Severo, Santiago Nicolas
La Paz Mastandrea, Franco Nicolas
Causa, Martin
Oliver, Juan Pablo
Steinfeld, Leonardo
Oreggioni, Julián
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Radi Severo, Santiago Nicolas
La Paz Mastandrea, Franco Nicolas
Causa, Martin
Oliver, Juan Pablo
Steinfeld, Leonardo
Oreggioni, Julián
dc.date.accessioned.none.fl_str_mv 2024-04-16T16:21:18Z
dc.date.available.none.fl_str_mv 2024-04-16T16:21:18Z
dc.date.issued.es.fl_str_mv 2018
dc.date.submitted.es.fl_str_mv 20240416
dc.description.abstract.none.fl_txt_mv A wireless 64-channel EEG (Electroencephalography) recording system for wearable applications is presented. The aim of this system is to allow the patient to move freely for a reasonable time in a short distance environment, in order to extend the field of application of traditional electroencephalography studies. The system consists of a wireless module located in the patient and a user interface that runs on a PC (Personal Computer). The wireless module is responsible for acquiring EEG signals (amplify, filter and digitize), processing and sending them wirelessly to the PC. The system is capable of acquiring up to 64 EEG signals and 6 synchronism signals for more than 24 hours, with a programmable sampling frequency between 100 Hz and 10 kHz. The system supports four types of system configuration (1, 4, 21 or 64 channels), with a programmable bandpass filter where high-pass frequency can vary between 0.1 Hz and 500 Hz and the low-pass frequency can vary between 100 Hz and 20 kHz. The analog front-end has an input impedance of 1:3G , an input-referred noise of 2:4 Vrms and a common mode rejection ratio of 82 dB. The maximum distance measured between the wireless module and the PC was 12 meters
dc.description.es.fl_txt_mv Trabajo presentado al IEEE 9th Latin American Symposium on Circuits
Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018
dc.identifier.citation.es.fl_str_mv Causa, M, Paz, F.L, Radi, S. Oliver, J.P, Steinfeld, L, Oreggioni, J. "A 64-channel wireless EEG recording system for wearable applications" Publicado en: Proceedings of the IEEE 9th Latin American Symposium on Circuits
Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018 pp. 1-4, doi: 10.1109/LASCAS.2018.8399899.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/43542
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Wireless communication
Electroencephalography
Wireless fidelity
dc.subject.other.es.fl_str_mv Electrónica
dc.title.none.fl_str_mv A 64-channel wireless EEG recording system for wearable applications
dc.type.es.fl_str_mv Ponencia
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Trabajo presentado al IEEE 9th Latin American Symposium on Circuits
eu_rights_str_mv openAccess
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identifier_str_mv Causa, M, Paz, F.L, Radi, S. Oliver, J.P, Steinfeld, L, Oreggioni, J. "A 64-channel wireless EEG recording system for wearable applications" Publicado en: Proceedings of the IEEE 9th Latin American Symposium on Circuits
Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018 pp. 1-4, doi: 10.1109/LASCAS.2018.8399899.
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
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publishDate 2018
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling 2024-04-16T16:21:18Z2024-04-16T16:21:18Z201820240416Causa, M, Paz, F.L, Radi, S. Oliver, J.P, Steinfeld, L, Oreggioni, J. "A 64-channel wireless EEG recording system for wearable applications" Publicado en: Proceedings of the IEEE 9th Latin American Symposium on CircuitsSystems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018 pp. 1-4, doi: 10.1109/LASCAS.2018.8399899.https://hdl.handle.net/20.500.12008/43542Trabajo presentado al IEEE 9th Latin American Symposium on CircuitsSystems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018A wireless 64-channel EEG (Electroencephalography) recording system for wearable applications is presented. The aim of this system is to allow the patient to move freely for a reasonable time in a short distance environment, in order to extend the field of application of traditional electroencephalography studies. The system consists of a wireless module located in the patient and a user interface that runs on a PC (Personal Computer). The wireless module is responsible for acquiring EEG signals (amplify, filter and digitize), processing and sending them wirelessly to the PC. The system is capable of acquiring up to 64 EEG signals and 6 synchronism signals for more than 24 hours, with a programmable sampling frequency between 100 Hz and 10 kHz. The system supports four types of system configuration (1, 4, 21 or 64 channels), with a programmable bandpass filter where high-pass frequency can vary between 0.1 Hz and 500 Hz and the low-pass frequency can vary between 100 Hz and 20 kHz. The analog front-end has an input impedance of 1:3G , an input-referred noise of 2:4 Vrms and a common mode rejection ratio of 82 dB. The maximum distance measured between the wireless module and the PC was 12 metersMade available in DSpace on 2024-04-16T16:21:18Z (GMT). No. of bitstreams: 5 CLROSO18.pdf: 1033559 bytes, checksum: 286eb87bd5cd1f5c5624aa0423ee5e91 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2018enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Wireless communicationElectroencephalographyWireless fidelityElectrónicaA 64-channel wireless EEG recording system for wearable applicationsPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRadi Severo, Santiago NicolasLa Paz Mastandrea, Franco NicolasCausa, MartinOliver, Juan PabloSteinfeld, LeonardoOreggioni, JuliánElectrónicaElectrónicaElectrónica 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- Universidad de la Repúblicafalse
spellingShingle A 64-channel wireless EEG recording system for wearable applications
Radi Severo, Santiago Nicolas
Wireless communication
Electroencephalography
Wireless fidelity
Electrónica
status_str publishedVersion
title A 64-channel wireless EEG recording system for wearable applications
title_full A 64-channel wireless EEG recording system for wearable applications
title_fullStr A 64-channel wireless EEG recording system for wearable applications
title_full_unstemmed A 64-channel wireless EEG recording system for wearable applications
title_short A 64-channel wireless EEG recording system for wearable applications
title_sort A 64-channel wireless EEG recording system for wearable applications
topic Wireless communication
Electroencephalography
Wireless fidelity
Electrónica
url https://hdl.handle.net/20.500.12008/43542