Publicación: Low-Cost System for Recording Electroencephalography Signals
dc.contributor.author | Wilver Auccahuasi | |
dc.contributor.author | Sandra Meza | |
dc.contributor.author | Kety Sifuentes | |
dc.contributor.author | Daysi Mancco | |
dc.contributor.author | Lucas Herrera | |
dc.contributor.author | Christian Ovalle | |
dc.contributor.author | Hernando Martin Campos Martínez | |
dc.contributor.author | Karin Rojas | |
dc.contributor.author | Miryam Inciso-Rojas | |
dc.contributor.author | Aly Auccahuasi | |
dc.date.accessioned | 2024-09-20T20:15:32Z | |
dc.date.available | 2024-09-20T20:15:32Z | |
dc.date.issued | 2022-08-29 | |
dc.description.abstract | 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. | |
dc.identifier.doi | DOI: 10.1109/ACM57404.2022.00023 | |
dc.identifier.uri | https://cris.esan.edu.pe/handle/20.500.12640/368 | |
dc.relation.ispartof | 2022 Algorithms, Computing and Mathematics Conference (ACM) | |
dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | |
dc.title | Low-Cost System for Recording Electroencephalography Signals | |
dc.type | proceedings-article | |
dspace.entity.type | Publication |