Detection of epileptic events in eeg using wavelets
This paper deal with the problem of automatic detection of epileptic events in EEGs from depth electrodes using multiresolution wavelet analysis. The basic problems in events detection are considered: the time localization and characterization of epileptiform events, and the computational efficiency...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 1994 |
| País: | Perú |
| Institución: | Pontificia Universidad Católica del Perú |
| Repositorio: | PUCP-Institucional |
| Idioma: | español |
| OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/97049 |
| Acceso en línea: | http://revistas.pucp.edu.pe/index.php/promathematica/article/view/10187/10629 |
| Access Level: | acceso abierto |
| Palabra clave: | Wavelets Eeg Digital Filters Events Detection https://purl.org/pe-repo/ocde/ford#1.01.00 |
| Sumario: | This paper deal with the problem of automatic detection of epileptic events in EEGs from depth electrodes using multiresolution wavelet analysis. The basic problems in events detection are considered: the time localization and characterization of epileptiform events, and the computational efficiency. The algorithm presented is based on a polynomial spline wavelet transform. The multiresolution representation obtained from this wavelet transform and the digital filters derived allow us an automatic detection, efficient and fast, of epileptiform activity. The detector proposed is based on the multiresolution energy function. This paper shows that it is possible to use a multiresolution wavelet scheme for detecting events in a nonstationary signal. EEG records from depth electrodes were analysed and the results obtained are shown. |
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