SLEEP DISORDER CLASSIFIERS USING EEG SIGNAL PROCESSING

DHANYA N , Dr MEENA SRINIVASAN

Keywords—EEG,ANFIS,SVM,FIS,PSD

Any change in sleep pattern which negatively affects the health is termed as sleep disorder. This paper aims to detect different types of sleep disorders and analyze the performance of the classifiers namely neural networks, ANFIS and SVM. Sample EEG signals are taken from CAP SLEEP DATABASE. For each signal, the information from at least 3 EEG channels (F3 or F4, C3 or C4, O1 or O2) is tabulated. EEG signals consists of different frequency bands namely, alpha (8-12 Hz) and beta (14-32 Hz) theta (4-8 Hz). A band pass filter is designed to extract alpha band from the EEG dataset and average power spectral density of this band is computed using Welch method. Statistical parameters like mean, standard deviation of sample data and obtained PSD of alpha wave are fed as input to the different classifier. A FIS model using grid partitioning method is generated. System was trained for 80 samples using hybrid algorithm for 25epochs in 2 seconds and the training error was 0.66257.20 samples were used to test the classifier and the results shows an average testing error of 0.50924 and an accuracy of about 91%. The SVM testing gave an accuracy of 92%. The disorders identified and classified in this paper are bruxism,narcolepsy,insomnia and nocturnal frontal lobe epilepsy. The data is read as ‘1’ for bruxism ‘2’ for epilepsy, ‘3’ for no sleep disorder, ‘4’ for insomnia and ‘5’ for narcolepsy.

Published Paper   E-Certificate

"SLEEP DISORDER CLASSIFIERS USING EEG SIGNAL PROCESSING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.223 - 228, March-2017, Available :https://ijsdr.org/papers/IJSDR1703034.pdf

Volume 2 Issue 3, March-2017

Pages : 223 - 228

Paper Reg. ID: IJSDR_170105

Published Paper Id: IJSDR1703034

Downloads: 000347204

Research Area: Engineering

Country: PALAKKAD, KERALA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1703034

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1703034

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition