International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

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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