A 64-channel wireless EEG recording system for wearable applications
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
2018 | |
Wireless communication Electroencephalography Wireless fidelity Electrónica |
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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) |
_version_ | 1807522942385389568 |
---|---|
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 |
format | conferenceObject |
id | COLIBRI_d230eaa3d624521cccc497178aea05f9 |
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 |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43542 |
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 |