Mostrar o rexistro simple do ítem
A Prototype of EEG System for IoT
dc.contributor.author | Laport López, Francisco | |
dc.contributor.author | Dapena, Adriana | |
dc.contributor.author | Castro-Castro, Paula-María | |
dc.contributor.author | Vázquez Araújo, Francisco Javier | |
dc.contributor.author | Iglesia, Daniel I. | |
dc.date.accessioned | 2020-06-01T14:26:19Z | |
dc.date.available | 2020-06-01T14:26:19Z | |
dc.date.issued | 2020-05-04 | |
dc.identifier.citation | Laport, F., Dapena, A., Castro, P. M., Vazquez-Araujo, F. J., & Iglesia, D. (2020). A Prototype of EEG System for IoT. International Journal of Neural Systems, 2050018-2050018 | es_ES |
dc.identifier.issn | 1793-6462 | |
dc.identifier.issn | 0129-0657 | |
dc.identifier.uri | http://hdl.handle.net/2183/25671 | |
dc.description.abstract | [Abstract] In this work, we develop open source hardware and software for eye state classification and integrate it with a protocol for the Internet of Things (IoT). We design and build the hardware using a reduced number of components and with a very low-cost. Moreover, we propose a method for the detection of open eyes (oE) and closed eyes (cE) states based on computing a power ratio between different frequency bands of the acquired signal. We compare several real- and complex-valued transformations combined with two decision strategies: a threshold-based method and a linear discriminant analysis. Simulation results show both classifier accuracies and their corresponding system delays. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G2019/01) | es_ES |
dc.description.sponsorship | Agencia Estatal de Investigación de España; TEC2016-75067-C4-1-R | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED481A-2018/156 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | This work has been funded by the Xunta de Galicia (ED431G2019/01), the Agencia Estatal de Investigacion of Spain (TEC2016-75067-C4-1-R) and ERDF funds of the EU (AEI/FEDER, UE), and the predoctoral Grant No. ED481A-2018/156 (Francisco Laport). CITIC as a Research Centre of the Galician University System is financed by the Conselleria de Educacion, Universidades e Formacion Profesional (Xunta de Galicia) through the ERDF (80%), Operational Programme ERDF Galicia 2014–2020 and the remaining 20% by the Secretaria Xeral de Universidades (Ref. ED431G 2019/01) | |
dc.language.iso | eng | es_ES |
dc.publisher | World Scientific Publishing Co. Pte. Ltd. | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2016-75067-C4-1-R/ES | |
dc.relation.uri | https://doi.org/10.1142/S0129065720500185 | es_ES |
dc.rights | Atribución 4.0 | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Electroencephalography | es_ES |
dc.subject | Internet of things | es_ES |
dc.subject | Prototypes | es_ES |
dc.subject | Signal processing | es_ES |
dc.title | A Prototype of EEG System for IoT | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | International Journal of Neural Systems | es_ES |
UDC.startPage | 2050018 | es_ES |
UDC.endPage | 2050018 | es_ES |
dc.identifier.doi | 10.1142/S0129065720500185 |
Ficheiros no ítem
Este ítem aparece na(s) seguinte(s) colección(s)
-
GI-GTEC - Artigos [193]