DECOMPOSITION OF SEIZURES IN EEG SIGNALS USING DISCRETE WAVELET TRANSFORMS (DWT)-Reference-Cited by-同舟云学术

DECOMPOSITION OF SEIZURES IN EEG SIGNALS USING DISCRETE WAVELET TRANSFORMS (DWT)

Published:2021-07-01 Issue: Volume: Page:50-52
ISSN:
Container-title:INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
language:en
Short-container-title:ijsr

Author:

Shweta N¹,H Nagendra²

Affiliation:

1. Research scholar, Pooja Doddappa Appa College of Engineering Kalaburagi, Karnataka, India.

2. Associate Professor of ECE Department Pooja Doddappa Appa College of Engineering Kalaburagi, Karnataka, India.

Abstract

An electroencephalogram (EEG) is a test that records electrical activity in the brain. Epileptic seizures affect approximately 50 million people worldwide, making it one of the most serious neurological disorders. Seizures cause a loss of consciousness, but there are no specic signs associated with epileptic seizures. analysing the brain's activity during seizures and locating the seizure duration in EEG recordings is difcult and time consuming. A discrete wavelet transform (DWT), which is an effective tool for decomposing EEG signals into delta, theta, alpha, beta, and gamma ( and ) frequency bands. For research, the db4 is used, which has a morphological d,q,a,b g structure that is different to that of EEG.

Publisher

World Wide Journals

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