Epilepsy Detection Based On Eeg Signals

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Bibliographic Details
Title: Epilepsy Detection Based On Eeg Signals
Authors: Adarsh K S, Maya K
Source: Journal of Signal Processing. 4(3):18-25
Publisher Information: Zenodo, 2018.
Publication Year: 2018
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, Electroencephalogram (EEG), Neural Network, specificity, accuracy, sensitivity, Epileptic seizure, SNR, 02 engineering and technology, 0101 mathematics, 01 natural sciences, 3. Good health
Description: Epilepsy is a brain neurological disorder in which the brain activity becomes abnormal causing unusual behavior, uncontrollable jerking movements, sensation and sometimes loss of awareness, affecting 71 million people world-wide. ElectroEncephaloGram (EEG) is used to measure the electro-neurological activity of the brain. When the Signal to Noise Ratio (SNR) of the noisy data is lower than 0dB the current seizure detection method can’t maintain a strong performance. The SNR of the noise data is below 0dB or negative means that EEG data is corrupted with serious levels of noise..
Document Type: Article
Language: English
ISSN: 1342-6230
DOI: 10.5281/zenodo.1488874
DOI: 10.5281/zenodo.1488873
Access URL: https://matjournals.in/index.php/JOSP/article/download/3028/2105
https://zenodo.org/record/1488874
Rights: CC BY
Accession Number: edsair.doi.dedup.....6f94e2cbb1062ce0add805a42213a8ec
Database: OpenAIRE
Description
Abstract:Epilepsy is a brain neurological disorder in which the brain activity becomes abnormal causing unusual behavior, uncontrollable jerking movements, sensation and sometimes loss of awareness, affecting 71 million people world-wide. ElectroEncephaloGram (EEG) is used to measure the electro-neurological activity of the brain. When the Signal to Noise Ratio (SNR) of the noisy data is lower than 0dB the current seizure detection method can’t maintain a strong performance. The SNR of the noise data is below 0dB or negative means that EEG data is corrupted with serious levels of noise..
ISSN:13426230
DOI:10.5281/zenodo.1488874