Automated diagnosis of normal and alcoholic EEG signals

International Journal of Neural Systems

Volumn 22, Issue 3, 2012, Pages

  Acharya, U Rajendra ^a   Sree, S Vinitha ^b   Chattopadhyay, Subhagata ^c   Suri, Jasjit S ^b,d  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b Global Biomedical Technologies   (United States)

^c NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

^d IDAHO STATE UNIVERSITY   (United States)

Author keywords

Alcohol; Automated diagnosis; Electroencephalogram; Higher order spectra; Lyapunov exponent; Nonlinear analysis; Support vector machine

Indexed keywords

APPROXIMATE ENTROPY; AUTOMATED DIAGNOSIS; AUTOMATED IDENTIFICATION; BRAIN SIGNALS; COMPUTER AIDED DIAGNOSTICS; EEG SIGNALS; ELECTRICAL ACTIVITIES; ELECTROENCEPHALOGRAM SIGNALS; FREQUENCY-DOMAIN METHODS; GOOD DISCRIMINATORS; HIGHER ORDER SPECTRUM; KERNEL FUNCTION; LARGEST LYAPUNOV EXPONENT; LYAPUNOV EXPONENT; MENTAL STATE; NON-LINEARITY; NONLINEAR FEATURES; NONLINEAR MEASURE; NONLINEAR TIME-SERIES ANALYSIS; NONSTATIONARY; ORDER POLYNOMIALS; POLYNOMIAL KERNELS; RADIAL BASIS FUNCTIONS; SAMPLE ENTROPY; SURROGATE DATA; SURROGATE DATA ANALYSIS; SVM CLASSIFIERS;

ALCOHOLS; AUTOMATION; ENTROPY; FREQUENCY DOMAIN ANALYSIS; LYAPUNOV METHODS; NEUROIMAGING; NONLINEAR ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TIME SERIES ANALYSIS;

ELECTROENCEPHALOGRAPHY;

ALCOHOLISM; ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; ENTROPY; FEMALE; HUMAN; MALE; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; PHYSIOLOGY; REFERENCE VALUE; SIGNAL PROCESSING;

ALCOHOLISM; ALGORITHMS; BRAIN WAVES; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; ENTROPY; FEMALE; HUMANS; MALE; NONLINEAR DYNAMICS; REFERENCE VALUES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84862067395     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065712500116     Document Type: Article

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