Low-Cost System for Recording Electroencephalography Signals

Wilver Auccahuasi, Sandra Meza, Kety Sifuentes, Daysi Mancco, Lucas Herrera, Christian Ovalle, Hernando Martin Campos Martinez, Karin Rojas, Miryam Inciso-Rojas, Aly Auccahuasi

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Information and communication technologies present us with a variety of equipment that can measure physiological signals at affordable costs, which in previous years could pay high costs, one of these equipment is the recording of EEG signals, with a single solid state sensor, the MindWave - NeuroSky equipment, which is normally used to measure the state of meditation and concentration. In the present work we present a not widely used configuration of this device, for recording EEG signals, as a result, we present the EEG signals, in the following order delta, theta, low-alpha, high-alpha, low-beta, high-beta, low-gamma and mid-gamma. As a result we present in graphical mode, each of the signals, the presented method can be used in the diagnosis of different pathologies related to the behavior of the brain.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas95-99
Número de páginas5
ISBN (versión digital)9781665492522
DOI
EstadoPublicada - 2022
Evento2022 Algorithms, Computing and Mathematics Conference, ACM 2022 - Hybrid, Chennai, India
Duración: 29 ago. 202230 ago. 2022

Serie de la publicación

NombreProceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022

Conferencia

Conferencia2022 Algorithms, Computing and Mathematics Conference, ACM 2022
País/TerritorioIndia
CiudadHybrid, Chennai
Período29/08/2230/08/22

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