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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Radi Severo, Santiago Nicolas | es |
dc.contributor.author | La Paz Mastandrea, Franco Nicolas | es |
dc.contributor.author | Causa, Martin | es |
dc.contributor.author | Oliver, Juan Pablo | es |
dc.contributor.author | Steinfeld, Leonardo | es |
dc.contributor.author | Oreggioni, Julián | es |
dc.date.accessioned | 2024-04-16T16:21:18Z | - |
dc.date.available | 2024-04-16T16:21:18Z | - |
dc.date.issued | 2018 | es |
dc.date.submitted | 20240416 | es |
dc.identifier.citation | 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 | es |
dc.identifier.citation | Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018 pp. 1-4, doi: 10.1109/LASCAS.2018.8399899. | es |
dc.identifier.uri | https://hdl.handle.net/20.500.12008/43542 | - |
dc.description | Trabajo presentado al IEEE 9th Latin American Symposium on Circuits | es |
dc.description | Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018 | es |
dc.description.abstract | 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 | es |
dc.language | en | es |
dc.rights | Las 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) | es |
dc.subject | Wireless communication | es |
dc.subject | Electroencephalography | es |
dc.subject | Wireless fidelity | es |
dc.subject.other | Electrónica | es |
dc.title | A 64-channel wireless EEG recording system for wearable applications | es |
dc.type | Ponencia | es |
dc.rights.licence | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) | es |
udelar.academic.department | Electrónica | - |
udelar.academic.department | Electrónica | - |
udelar.investigation.group | Electrónica Aplicada | - |
udelar.investigation.group | Microelectrónica | - |
Aparece en las colecciones: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
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CLROSO18.pdf | 1,01 MB | Adobe PDF | Visualizar/Abrir |
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