Analysis and characterization of electrical signals of the brain using computer brain interface
Different processes of cerebral activity can be perceived as electrical signals. Some of them can generate potentials over the scalp. These potentials can be captured through an electroencephalogram (EEG) system. In case it’s motor activity (related to arm, legs and other limb movements), regions as...
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| Otros Autores: | , , , |
| Formato: | article |
| Lenguaje: | español |
| Publicado: |
2020
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| Acceso en línea: | https://revistas.utp.ac.pa/index.php/ric/article/view/2395 https://ridda2.utp.ac.pa/handle/123456789/10099 |
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| _version_ | 1869652460789825536 |
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| author | Batista,, Emmanuel |
| author2 | Serracín, Sofía Gómez, Luis Moreno, Rodney Moreno, Iveth |
| author2_role | author author author author |
| author_browse | Batista,, Emmanuel Gómez, Luis Moreno, Iveth Moreno, Rodney Serracín, Sofía |
| author_facet | Batista,, Emmanuel Serracín, Sofía Gómez, Luis Moreno, Rodney Moreno, Iveth |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Batista,, Emmanuel Serracín, Sofía Gómez, Luis Moreno, Rodney Moreno, Iveth |
| dc.date.none.fl_str_mv | 11/12/2019 2020-03-03T15:46:27Z 2020-03-03T15:46:27Z |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://revistas.utp.ac.pa/index.php/ric/article/view/2395 10.33412/rev-ric.v5.0.2395 https://ridda2.utp.ac.pa/handle/123456789/10099 |
| dc.language.none.fl_str_mv | spa |
| dc.publisher.none.fl_str_mv | Universidad Tecnológica de Panamá |
| dc.relation.none.fl_str_mv | https://revistas.utp.ac.pa/index.php/ric/article/view/2395/3244 |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| dc.source.none.fl_str_mv | 2413-6786 2412-0464 Revista de Iniciación Científica; Vol. 5 (2019): Revista de Iniciación Científica; Edición Especial N°3 Vol.5.0 -N°.1 (2018); 110-113 reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.title.none.fl_str_mv | Analysis and characterization of electrical signals of the brain using computer brain interface Análisis y caracterización de señales eléctricas del cerebro utilizando interfaz cerebro computador |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Different processes of cerebral activity can be perceived as electrical signals. Some of them can generate potentials over the scalp. These potentials can be captured through an electroencephalogram (EEG) system. In case it’s motor activity (related to arm, legs and other limb movements), regions associated with motor and sensorial tasks present a variation in activity, called sensorimotor rhythms (SMR), and is observed in the mu (8 – 12 Hz) and part of Beta (18 – 30 Hz) band frequencies, even if it’s only the movement imagination. The next article looks for the differentiation and identification of the movement intention (motorimagination), in base to the changes in energy of the bands previously mentioned and topographical analysis, to establish if this electrical activity is viable to generate outputs in control systems. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | lrtest_3e8030cc5de71a3237573471d7741c5e |
| identifier_str_mv | 10.33412/rev-ric.v5.0.2395 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | spa |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/10099 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publisher.none.fl_str_mv | Universidad Tecnológica de Panamá |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| spelling | Analysis and characterization of electrical signals of the brain using computer brain interfaceAnálisis y caracterización de señales eléctricas del cerebro utilizando interfaz cerebro computadorBatista,, EmmanuelSerracín, SofíaGómez, LuisMoreno, RodneyMoreno, IvethDifferent processes of cerebral activity can be perceived as electrical signals. Some of them can generate potentials over the scalp. These potentials can be captured through an electroencephalogram (EEG) system. In case it’s motor activity (related to arm, legs and other limb movements), regions associated with motor and sensorial tasks present a variation in activity, called sensorimotor rhythms (SMR), and is observed in the mu (8 – 12 Hz) and part of Beta (18 – 30 Hz) band frequencies, even if it’s only the movement imagination. The next article looks for the differentiation and identification of the movement intention (motorimagination), in base to the changes in energy of the bands previously mentioned and topographical analysis, to establish if this electrical activity is viable to generate outputs in control systems.Los diferentes procesos de la actividad cerebral pueden percibirse como señales eléctricas. Algunas de ellas pueden generar potenciales en el cuero cabelludo. Estos potenciales pueden ser captados mediante un sistema de Electroencefalograma (EEG). En el caso de actividad motora (relacionada a movimientos de brazos, piernas y otros) se presenta actividad en las regiones motoras y sensoriales conocidas como ritmos sensoriomotores (SMR) en las bandas de frecuencia mu (8 a 12 Hz) y de una parte de la banda Beta (de 18 a 30 Hz), incluso, si es solo la imaginación del movimiento. Con esto en cuenta, el siguiente artículo busca ladiferenciación e identificación de la intención del movimiento (imaginación motora), en base a los cambios de energía en las bandas de energía previamente mencionados y análisis topográfico, para establecer si esta actividad eléctrica es viable para generar outputs en sistemas de control a partir de ella.Universidad Tecnológica de Panamá11/12/20192020-03-03T15:46:27Z2020-03-03T15:46:27Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.utp.ac.pa/index.php/ric/article/view/239510.33412/rev-ric.v5.0.2395https://ridda2.utp.ac.pa/handle/123456789/100992413-67862412-0464Revista de Iniciación Científica; Vol. 5 (2019): Revista de Iniciación Científica; Edición Especial N°3 Vol.5.0 -N°.1 (2018); 110-113reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáspahttps://revistas.utp.ac.pa/index.php/ric/article/view/2395/3244info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/oai:ridda2.utp.ac.pa:123456789/100992021-05-17T21:19:48Z |
| spellingShingle | Analysis and characterization of electrical signals of the brain using computer brain interface Batista,, Emmanuel |
| status_str | publishedVersion |
| title | Analysis and characterization of electrical signals of the brain using computer brain interface |
| title_full | Analysis and characterization of electrical signals of the brain using computer brain interface |
| title_fullStr | Analysis and characterization of electrical signals of the brain using computer brain interface |
| title_full_unstemmed | Analysis and characterization of electrical signals of the brain using computer brain interface |
| title_short | Analysis and characterization of electrical signals of the brain using computer brain interface |
| title_sort | Analysis and characterization of electrical signals of the brain using computer brain interface |
| url | https://revistas.utp.ac.pa/index.php/ric/article/view/2395 https://ridda2.utp.ac.pa/handle/123456789/10099 |