Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces

A deep an adequate understanding of the human brain functions has been an objective for interdisciplinar teams of scientists. Different types of technological acquisition methodologies, allow to capture some particular data that is related with brain activity. Commonly, the more used strategies are...

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Autores:
Torres Valencia, Cristian Alejando
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Tecnológica de Pereira
Repositorio:
Repositorio Institucional UTP
Idioma:
eng
OAI Identifier:
oai:repositorio.utp.edu.co:11059/12974
Acceso en línea:
https://hdl.handle.net/11059/12974
Palabra clave:
Encefalografía
Sistema nervioso - Enfermedades - Fisioterapia
Electrical Engineering
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License
Attribution-NonCommercial-NoDerivatives 4.0 International
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spelling Orozco Gutiérrez, Álvaro ÁngelTorres Valencia, Cristian Alejando3090698e591a085427a3915b0ddeea98300Doctor en Ingeniería2021-04-29T12:10:04Z2021-11-02T19:43:41Z2021-04-29T12:10:04Z2021-11-02T19:43:41Z2020A deep an adequate understanding of the human brain functions has been an objective for interdisciplinar teams of scientists. Different types of technological acquisition methodologies, allow to capture some particular data that is related with brain activity. Commonly, the more used strategies are related with the brain electrical activity, where reflected neuronal interactions are reflected in the scalp and obtained via electrode arrays as time series. The processing of this type of brain electrical activity (BEA) data, poses some challenges that should be addressed carefully due their intrinsic properties. BEA in known to have a nonstationaty behavior and a high degree of variability dependenig of the stimulus or responses that are being adressed...application/pdfT616.803 T693 F8227https://hdl.handle.net/11059/12974engPereira: Universidad Tecnológica de PereiraFacultad de IngenieríaDoctorado en IngenieríaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2EncefalografíaSistema nervioso - Enfermedades - FisioterapiaElectrical EngineeringBrain electrical activity discriminant analysis using Reproducing Kernel Hilbert spacesdoctoralThesisacceptedVersionhttp://purl.org/coar/resource_type/c_db06ORIGINALT616.803 T693.pdfDocumento principalapplication/pdf3651287https://repositorio.utp.edu.co/bitstreams/5ddb746b-0bbd-4448-b8b6-4bbc41910028/download29a27ebdf5fdd8cca91e9e66ebd350b2MD51CC-LICENSElicense_rdfapplication/octet-stream1223https://repositorio.utp.edu.co/bitstreams/409963ee-e493-4088-ba5e-47e0280a6609/download7c9ab7f006165862d8ce9ac5eac01552MD52LICENSElicense.txttext/plain849https://repositorio.utp.edu.co/bitstreams/cc6efa93-e7c8-404c-a5e0-71b47613987a/downloade2e549e0a1eff8f2de922c8fd2184f09MD53TEXTT616.803 T693.pdf.txtT616.803 T693.pdf.txtExtracted texttext/plain223363https://repositorio.utp.edu.co/bitstreams/8d17b23d-c902-4b6b-ab31-a649e1a89991/downloade16f839f6c5a8fe65a95f36b930ba049MD56THUMBNAILT616.803 T693.pdf.jpgT616.803 T693.pdf.jpgGenerated Thumbnailimage/jpeg7499https://repositorio.utp.edu.co/bitstreams/7a0049dc-394d-4151-a5e2-84c10a3676bd/download62b649de333b2b847e39f6cda8fe0500MD5711059/12974oai:repositorio.utp.edu.co:11059/129742022-01-21 03:27:34.542http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://repositorio.utp.edu.coRepositorio UTPbdigital@metabiblioteca.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
dc.title.spa.fl_str_mv Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
title Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
spellingShingle Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
Encefalografía
Sistema nervioso - Enfermedades - Fisioterapia
Electrical Engineering
title_short Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
title_full Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
title_fullStr Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
title_full_unstemmed Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
title_sort Brain electrical activity discriminant analysis using Reproducing Kernel Hilbert spaces
dc.creator.fl_str_mv Torres Valencia, Cristian Alejando
dc.contributor.advisor.none.fl_str_mv Orozco Gutiérrez, Álvaro Ángel
dc.contributor.author.none.fl_str_mv Torres Valencia, Cristian Alejando
dc.subject.spa.fl_str_mv Encefalografía
Sistema nervioso - Enfermedades - Fisioterapia
Electrical Engineering
topic Encefalografía
Sistema nervioso - Enfermedades - Fisioterapia
Electrical Engineering
description A deep an adequate understanding of the human brain functions has been an objective for interdisciplinar teams of scientists. Different types of technological acquisition methodologies, allow to capture some particular data that is related with brain activity. Commonly, the more used strategies are related with the brain electrical activity, where reflected neuronal interactions are reflected in the scalp and obtained via electrode arrays as time series. The processing of this type of brain electrical activity (BEA) data, poses some challenges that should be addressed carefully due their intrinsic properties. BEA in known to have a nonstationaty behavior and a high degree of variability dependenig of the stimulus or responses that are being adressed...
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-04-29T12:10:04Z
2021-11-02T19:43:41Z
dc.date.available.none.fl_str_mv 2021-04-29T12:10:04Z
2021-11-02T19:43:41Z
dc.type.spa.fl_str_mv doctoralThesis
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dc.type.hasVersion.spa.fl_str_mv acceptedVersion
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11059/12974
identifier_str_mv T616.803 T693 F8227
url https://hdl.handle.net/11059/12974
dc.language.iso.spa.fl_str_mv eng
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rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Pereira: Universidad Tecnológica de Pereira
dc.publisher.department.spa.fl_str_mv Facultad de Ingeniería
dc.publisher.program.spa.fl_str_mv Doctorado en Ingeniería
institution Universidad Tecnológica de Pereira
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