EEG Signal Classification for Epileptic Seizure Detection using EMD and ELM algorithms

Author(s)	Nivetha N
Country	India
Abstract	This paper proposes the classification of EEG signal for epilepsy diagnosis. Epilepsy is a neurological disorder which occurs due to synchronous neuronal activity in brain. Empirical Mode Decomposition (EMD), Extreme Learning Machine (ELM) are the technique delivered in the proposed method.Input EEG signal, which is available in online as Bonn Database is decomposed into five Intrinsic Mode Functions (IMFs) using EMD.
Keywords	EEG,EMD,EML, interictal
Field	Engineering
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-09
Cite This	EEG Signal Classification for Epileptic Seizure Detection using EMD and ELM algorithms - Nivetha N - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14406
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.14406
Short DOI	https://doi.org/gtmbjs

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International Journal For Multidisciplinary Research