Weighted time series analysis for electroencephalographic source localization
This paper presents a new method to estimate neural activity from electroencephalographic signals using a weighted time series analysis. The method considers a physiologically based linear model that takes both spatial and temporal dynamics into account and a weighting stage to modify the assumption...
- Autores:
-
Giraldo Suárez, Eduardo
Castellanos Domínguez, César Germán
Peluffo Ordoñez, Diego Hernán
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2012
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/39495
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/39495
http://bdigital.unal.edu.co/29592/
- Palabra clave:
- inverse problem
brain mapping
weighting matrix
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Giraldo Suárez, Eduardo8ec7e575-b61a-4cf3-b5e0-1bb3d8e66d3e300Castellanos Domínguez, César Germán2c826660-fe70-432d-bcb5-dc55363de50b300Peluffo Ordoñez, Diego Hernánb1c80689-1b7a-4f84-9060-5459dc8253583002019-06-28T03:57:56Z2019-06-28T03:57:56Z2012https://repositorio.unal.edu.co/handle/unal/39495http://bdigital.unal.edu.co/29592/This paper presents a new method to estimate neural activity from electroencephalographic signals using a weighted time series analysis. The method considers a physiologically based linear model that takes both spatial and temporal dynamics into account and a weighting stage to modify the assumptions of the model from observations. The calculated weighting matrix is included in the cost function used to solve the dynamic inverse problem, and therefore in the Kalman filter formulation. In this way, a weighted Kalman filtering approach is proposed including a preponderance matrix. The filter’s performance (in terms of localization error) is analyzed for several SNRs. The optimal performance is achieved using the linear model with a weighting matrix computed by an inner product method.application/pdfspaUniversidad Nacional de Colombia Sede Medellínhttp://revistas.unal.edu.co/index.php/dyna/article/view/28126Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaDyna; Vol. 79, núm. 176 (2012); 64-70 DYNA; Vol. 79, núm. 176 (2012); 64-70 2346-2183 0012-7353Giraldo Suárez, Eduardo and Castellanos Domínguez, César Germán and Peluffo Ordoñez, Diego Hernán (2012) Weighted time series analysis for electroencephalographic source localization. Dyna; Vol. 79, núm. 176 (2012); 64-70 DYNA; Vol. 79, núm. 176 (2012); 64-70 2346-2183 0012-7353 .Weighted time series analysis for electroencephalographic source localizationArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTinverse problembrain mappingweighting matrixORIGINAL28126-99746-2-SP.docxapplication/vnd.openxmlformats-officedocument.wordprocessingml.document71380https://repositorio.unal.edu.co/bitstream/unal/39495/1/28126-99746-2-SP.docxc4d34c7c30670b10c07fc87d5d100086MD5128126-191451-1-PB.htmltext/html31180https://repositorio.unal.edu.co/bitstream/unal/39495/2/28126-191451-1-PB.html215f7aceca0f4f356a09c6955e10c649MD5228126-151098-1-PB.pdfapplication/pdf1288920https://repositorio.unal.edu.co/bitstream/unal/39495/3/28126-151098-1-PB.pdf0e97e3afe1a738b70d98c959d63995f8MD53THUMBNAIL28126-151098-1-PB.pdf.jpg28126-151098-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9161https://repositorio.unal.edu.co/bitstream/unal/39495/4/28126-151098-1-PB.pdf.jpgd3a6c89bd97d6652902bdcbcf20f44a9MD54unal/39495oai:repositorio.unal.edu.co:unal/394952024-01-20 23:06:31.184Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
| dc.title.spa.fl_str_mv |
Weighted time series analysis for electroencephalographic source localization |
| title |
Weighted time series analysis for electroencephalographic source localization |
| spellingShingle |
Weighted time series analysis for electroencephalographic source localization inverse problem brain mapping weighting matrix |
| title_short |
Weighted time series analysis for electroencephalographic source localization |
| title_full |
Weighted time series analysis for electroencephalographic source localization |
| title_fullStr |
Weighted time series analysis for electroencephalographic source localization |
| title_full_unstemmed |
Weighted time series analysis for electroencephalographic source localization |
| title_sort |
Weighted time series analysis for electroencephalographic source localization |
| dc.creator.fl_str_mv |
Giraldo Suárez, Eduardo Castellanos Domínguez, César Germán Peluffo Ordoñez, Diego Hernán |
| dc.contributor.author.spa.fl_str_mv |
Giraldo Suárez, Eduardo Castellanos Domínguez, César Germán Peluffo Ordoñez, Diego Hernán |
| dc.subject.proposal.spa.fl_str_mv |
inverse problem brain mapping weighting matrix |
| topic |
inverse problem brain mapping weighting matrix |
| description |
This paper presents a new method to estimate neural activity from electroencephalographic signals using a weighted time series analysis. The method considers a physiologically based linear model that takes both spatial and temporal dynamics into account and a weighting stage to modify the assumptions of the model from observations. The calculated weighting matrix is included in the cost function used to solve the dynamic inverse problem, and therefore in the Kalman filter formulation. In this way, a weighted Kalman filtering approach is proposed including a preponderance matrix. The filter’s performance (in terms of localization error) is analyzed for several SNRs. The optimal performance is achieved using the linear model with a weighting matrix computed by an inner product method. |
| publishDate |
2012 |
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2012 |
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2019-06-28T03:57:56Z |
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2019-06-28T03:57:56Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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Text |
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http://purl.org/redcol/resource_type/ART |
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https://repositorio.unal.edu.co/handle/unal/39495 |
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http://bdigital.unal.edu.co/29592/ |
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https://repositorio.unal.edu.co/handle/unal/39495 http://bdigital.unal.edu.co/29592/ |
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spa |
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spa |
| dc.relation.spa.fl_str_mv |
http://revistas.unal.edu.co/index.php/dyna/article/view/28126 |
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Universidad Nacional de Colombia Revistas electrónicas UN Dyna Dyna |
| dc.relation.ispartofseries.none.fl_str_mv |
Dyna; Vol. 79, núm. 176 (2012); 64-70 DYNA; Vol. 79, núm. 176 (2012); 64-70 2346-2183 0012-7353 |
| dc.relation.references.spa.fl_str_mv |
Giraldo Suárez, Eduardo and Castellanos Domínguez, César Germán and Peluffo Ordoñez, Diego Hernán (2012) Weighted time series analysis for electroencephalographic source localization. Dyna; Vol. 79, núm. 176 (2012); 64-70 DYNA; Vol. 79, núm. 176 (2012); 64-70 2346-2183 0012-7353 . |
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Derechos reservados - Universidad Nacional de Colombia |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc/4.0/ |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
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