Natural resonance frequency identification for sea waves and EEG epileptic patients using Pade approximation and neural network

Osama A. Elsayed; Abdallah Hammad; Eman A. Abdel-Ghaffar

doi:10.1016/j.ejrs.2019.12.002

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Natural resonance frequency identification for sea waves and EEG epileptic patients using Pade approximation and neural network

Journal article

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Peer reviewed

Natural resonance frequency identification for sea waves and EEG epileptic patients using Pade approximation and neural network

Osama A. Elsayed, Abdallah Hammad and Eman A. Abdel-Ghaffar

The Egyptian journal of remote sensing and space sciences, Vol.24(1), pp.55-58

02/2021

DOI: https://doi.org/10.1016/j.ejrs.2019.12.002

Abstract

ANN

Electroencephalograph

Epilepsy

Feature extraction

Pade method

Poles

Pade method is used in the spectral domain estimation to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical engineering field is the Epilepsy seizure type classification. Feature extractions of both the Global Navigation Satellite Systems (GNSS) signal and the epilepsy seizure from a human Electroencephalograph (EEG) signal are based on the poles location of the signal.

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Title: Natural resonance frequency identification for sea waves and EEG epileptic patients using Pade approximation and neural network
Creators - without role: Osama A. Elsayed - NARSS, EGSA, Egypt
Abdallah Hammad - Benha University
Eman A. Abdel-Ghaffar - Benha University
Publication Details: The Egyptian journal of remote sensing and space sciences, Vol.24(1), pp.55-58
Publisher: Elsevier B.V
Identifiers: 9932694908331
Academic Unit: University of Bisha
Language: English
Resource Type: Journal article