Title :
Performance comparison using five ANN methods for classification of EEG signals of two mental states
Author :
Khare, Vijay ; Santhosh, Jayashree ; Anand, Sneh
Author_Institution :
ECE Dept., JIIT Univ., Noida
Abstract :
The Paper demonstrate the comparison of performance by five artificial neural network (ANN) technique (a) Gradient Descent Back Propagation (b) Levenberg-Marquardt (c) Resilient Back Propagation (d) Conjugate Learning Gradient Back Propagation and (e) Gradient Descent Back Propagation with movementum for classification of planning of right hand movement with respect to an awake relaxed state. Wavelet packet transform (WPT) was used for Feature extraction of the relevant electroencephalogram (EEG) signals.
Keywords :
electroencephalography; feature extraction; medical signal processing; signal classification; ANN methods; EEG signals; Levenberg-Marquardt; artificial neural network; awake relaxed state; conjugate learning gradient back propagation; feature extraction; gradient descent back propagation; mental states; performance comparison; resilient back propagation; right hand movement; signal classification; wavelet packet transform; Artificial neural networks; Biological neural networks; Electrodes; Electroencephalography; Eyes; Feature extraction; Frequency; Low pass filters; Wavelet packets; Wavelet transforms; Artificial Neural Network (ANN); BCI; Electroencephalogram (EEG); Rehabilitation; Wavelet Packet Transform (WPT);
Conference_Titel :
India Conference, 2008. INDICON 2008. Annual IEEE
Conference_Location :
Kanpur
Print_ISBN :
978-1-4244-3825-9
Electronic_ISBN :
978-1-4244-2747-5
DOI :
10.1109/INDCON.2008.4768792
