DocumentCode :
2993482
Title :
EEG Classification using Radial Basis PSO Neural Network for Brain Machine Interfaces
Author :
Paulraj, M.P. ; Hema, C.R. ; Nagarajan, Radhakrishnan ; Yaacob, Sazali ; Adorn, A.H.
Author_Institution :
Univ. Malaysia Perlis, Kangar
fYear :
2007
fDate :
12-11 Dec. 2007
Firstpage :
1
Lastpage :
5
Abstract :
Brain machine interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, can function in most environments, they also require relatively simple and inexpensive equipment. In this paper we propose a mental task classification algorithm using a particle swarm optimization (PSO) for a radial basis neural network. Features are extracted from EEG signals that are recorded during five mental tasks, namely baseline-resting, mathematical multiplication, geometric figure rotation, letter composing and visual counting. PCA features extracted from the task signals are used the neural net to classify different combinations of two mental tasks. Results obtained show average classification rates ranging from % to %.
Keywords :
electroencephalography; feature extraction; medical computing; neurophysiology; particle swarm optimisation; radial basis function networks; user interfaces; EEG classification; baseline-resting; brain machine interfaces; feature extraction; geometric figure rotation; mathematical multiplication; mental task classification algorithm; neuromuscular disorders; radial basis PSO neural network; radial basis neural network; visual counting; Biological neural networks; Brain; Cerebral cortex; Classification algorithms; Communication system control; Electrodes; Electroencephalography; Feature extraction; Neurons; Particle swarm optimization; EEG Signal processing; PCA; Particle Swarm Optimization; Radial Basis Function Neural Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Development, 2007. SCOReD 2007. 5th Student Conference on
Conference_Location :
Selangor, Malaysia
Print_ISBN :
978-1-4244-1469-7
Electronic_ISBN :
978-1-4244-1470-3
Type :
conf
DOI :
10.1109/SCORED.2007.4451377
Filename :
4451377
Link To Document :
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