Modified Spatio-Temporal Matched Filtering for Brain Responses Classification
In this article, we apply the method of spatio-temporal filtering (STF) to electroencephalographic (EEG) data processing for brain responses classification. The method operates similarly to linear discriminant analysis (LDA) but contrary to most applied classifiers, it uses the whole recorded EEG si...
- Autores:
-
P. Kotas, Marian
Piela, Michal
Contreras-Ortiz, Sonia H.
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/11134
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/11134
- Palabra clave:
- Index Terms—Brain–computer interfaces (BCI)
Discrete cosine transform (DCT)
Generalized matched filtering (GMF)
Spatio– temporal filtering (STF)
Visual evoked potentials (EPs)
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/