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EEG based detection of alcoholics using spectral entropy with neural network classifiers

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Bibliographic Details
Main Authors: Padma Shri, T. K., Sriraam, N.
Other Authors: padma.shri@manipal.edu
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Alcoholics
Classifier
Electroencephalogram (EEG)
Gamma band
Neural network
Spectral entropy
Visually evoked potentials (VEP)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20725
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spelling my.unimap-207252012-08-22T03:47:51Z EEG based detection of alcoholics using spectral entropy with neural network classifiers Padma Shri, T. K. Sriraam, N. padma.shri@manipal.edu Alcoholics Classifier Electroencephalogram (EEG) Gamma band Neural network Spectral entropy Visually evoked potentials (VEP) Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper suggests the application of gamma band spectral entropy for the detection of alcoholics. First, the gamma sub band signals (30-50Hz) are extracted using an elliptic band pass filter of sixth order to extract the visually evoked potentials (VEP) signals. Prior to filtering, thresholds of 100μv are applied to the electroencephalogram (EEG) recordings in order to remove eye blink artefact. The power spectral densities (PSD’s) of the gamma band are calculated using Periodogram and the gamma band spectral entropies are determined. These spectral entropy coefficients in the gamma band are used as features to classify the control subjects from their alcoholic counterparts using multilayer perceptron-back propagation (MLP-BP) and probabilistic neural network(PNN) classifiers. From the experimental study, it can be concluded that the PNN classifier performs better with a classification accuracy of ~99% (for a spread factor of < 1) than MLP classifier. 2012-08-22T03:47:51Z 2012-08-22T03:47:51Z 2012-02-27 Working Paper p. 89-93 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6178961 http://hdl.handle.net/123456789/20725 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Alcoholics
Classifier
Electroencephalogram (EEG)
Gamma band
Neural network
Spectral entropy
Visually evoked potentials (VEP)
spellingShingle Alcoholics
Classifier
Electroencephalogram (EEG)
Gamma band
Neural network
Spectral entropy
Visually evoked potentials (VEP)
Padma Shri, T. K.
Sriraam, N.
EEG based detection of alcoholics using spectral entropy with neural network classifiers
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 padma.shri@manipal.edu
author_facet padma.shri@manipal.edu
Padma Shri, T. K.
Sriraam, N.
format Working Paper
author Padma Shri, T. K.
Sriraam, N.
author_sort Padma Shri, T. K.
title EEG based detection of alcoholics using spectral entropy with neural network classifiers
title_short EEG based detection of alcoholics using spectral entropy with neural network classifiers
title_full EEG based detection of alcoholics using spectral entropy with neural network classifiers
title_fullStr EEG based detection of alcoholics using spectral entropy with neural network classifiers
title_full_unstemmed EEG based detection of alcoholics using spectral entropy with neural network classifiers
title_sort eeg based detection of alcoholics using spectral entropy with neural network classifiers
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20725
_version_ 1643793163486232576
score 13.222552

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