A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals-Reference-Cited by-同舟云学术

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A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals

Published:2024-02 Issue: Volume:88 Page:105659
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Perez-Sanchez Andrea V.^ORCID,Amezquita-Sanchez Juan P.^ORCID,Valtierra-Rodriguez Martin^ORCID,Adeli Hojjat^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference89 articles.

1. F. Amzica, Neurophysiolog of Epilepsy, in: S. Shorvon, R. Guerrini, M. Cook, S.D. Lhatoo (Eds.), Epilepsy and Epileptic Seizures, 1st ed., Oxford University Press, 2013: pp. 1–11. 10.1136/bmj.1.5230.952-a.

2. World Health Organization, Global burden of epilepsy, in: Epilepsy a Public Heal. Imp., Geneva, 2019: pp. 9–17.

3. Quality of life in patients with epilepsy;Wang;Chinese J. Clin. Rehabil.,2003

4. Impact of epilepsy on the risk of hospital-treated injuries in Finnish children;Ripatti;Epilepsy Behav. Reports.,2023

5. Investigating non-pharmacological treatments for psychological problems associated with epilepsy: a narrative review;Charsouei;Heal. Technol. Assess. Action.,2021

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