Publicación: Low-Cost System for Recording Electroencephalography Signals
| dc.contributor.author | Wilver Auccahuasi | |
| dc.contributor.author | Meza Balvin, Sandra Jeannet | |
| 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.identifier.uuid | c1f1a5f7-e60b-44b7-bd13-1ac291d0f74b | |
| dc.relation.ispartof | 2022 Algorithms, Computing and Mathematics Conference (ACM) | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.title | Low-Cost System for Recording Electroencephalography Signals | |
| dc.type | http://purl.org/coar/resource_type/c_5794 | |
| dspace.entity.type | Publication | |
| organization.acronym | UESAN | |
| organization.identifier.ruc | 20136507720 | |
| organization.identifier.uuid | 8ea1bac9-00cb-495d-95f2-d5ff6637689d | |
| person.affiliation.name | UNIVERSIDAD ESAN | |
| person.identifier.orcid | 0000-0002-4650-1340 | |
| person.identifier.uuid | 33774050-ad5b-4027-90be-414bbee1745f | |
| relation.isAuthorOfPublication | 33774050-ad5b-4027-90be-414bbee1745f | |
| relation.isAuthorOfPublication.latestForDiscovery | 33774050-ad5b-4027-90be-414bbee1745f |