Título:
A 64-channel wireless EEG recording system for wearable applications
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Autor:
Radi Severo, Santiago Nicolas
La Paz Mastandrea, Franco Nicolas
Causa, Martin
Oliver, Juan Pablo
Steinfeld, Leonardo
Oreggioni, Julián
La Paz Mastandrea, Franco Nicolas
Causa, Martin
Oliver, Juan Pablo
Steinfeld, Leonardo
Oreggioni, Julián
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Tipo de documento:
Ponencia
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Palabras clave:
Wireless communication
Electroencephalography
Wireless fidelity
Electroencephalography
Wireless fidelity
Descriptores:
Electrónica
Año de publicación:
2018
Contenido:
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
Descripción:
Trabajo presentado al IEEE 9th Latin American Symposium on Circuits
Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018
Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018
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Citación:
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.
Systems (LASCAS), Puerto Vallarta, Mexico, 25-28 feb., 2018 pp. 1-4, doi: 10.1109/LASCAS.2018.8399899.
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Departamento académico:
Electrónica
Electrónica
Electrónica
Grupo de investigación:
Electrónica Aplicada
Microelectrónica
Microelectrónica
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| CLROSO18.pdf | — | 1009.33 KB | Adobe PDF |