Epileptic seizure identification in EEG signals using DWT, ANN and sequential window algorithm

A patient-specific novel systematic methodology is described in this study for automatic seizure detection from raw electroencephalogram (EEG) signals. Filtering process by means of band-pass finite impulse response (FIR) filter with the frequency range of 0.5–40 Hz is implemented at the outset to e...

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Detalles Bibliográficos
Autores principales:	Ramendra Nath Bairagi, Md Maniruzzaman, Suriya Pervin, Alok Sarker
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Artificial neural network Discrete wavelet transform EEG signal classification False positive rate Seizure detection Sequential window algorithm Information technology T58.5-58.64 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/bc0732238f8a492e90be0cd3e361b4bb
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Epileptic seizure identification in EEG signals using DWT, ANN and sequential window algorithm

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