An improved EEG signal classification using Neural Network with the consequence of ICA and STFT

Journal of Electrical Engineering and Technology

Volumn 9, Issue 3, 2014, Pages 1060-1071

  Sivasankari, K ^a   Thanushkodi, K ^a  

^a AKSHAYA COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); And thresholding; Backpropagation neural network (BPNN); EEG signal; Epileptic seizure; Independent component analysis (ICA); Levenberg marquardt algorithm; Neural network classification; Short time fourier transform (STFT)

Indexed keywords

BRAIN; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; LYAPUNOV METHODS; NEURAL NETWORKS; NEURODEGENERATIVE DISEASES; NEURONS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; BACK-PROPAGATION NEURAL NETWORKS; EEG SIGNALS; EPILEPTIC SEIZURES; INDEPENDENT COMPONENT ANALYSIS(ICA); LEVENBERG-MARQUARDT ALGORITHM; NEURAL NETWORK CLASSIFICATION; SHORT TIME FOURIER TRANSFORMS; THRESHOLDING;

SIGNAL DETECTION;

EID: 84899983259     PISSN: 19750102     EISSN: None     Source Type: Journal    
DOI: 10.5370/JEET.2014.9.3.1060     Document Type: Article

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