Application of quantum-behaved particle swarm optimization to motor imagery EEG classification

In this study, we propose a recognition system for single-trial analysis of motor imagery (MI) electroencephalogram (EEG) data. Applying event-related brain potential (ERP) data acquired from the sensorimotor cortices, the system chiefly consists of automatic artifact elimination, feature extraction...

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Bibliographic Details

Published in:	International journal of neural systems Vol. 23; no. 6; p. 1350026
Main Author:	Hsu, Wei-Yen
Format:	Journal Article
Language:	English
Published:	Singapore 01.12.2013
Subjects:	Algorithms Brain-Computer Interfaces Electroencephalography Humans Imagination - physiology Quantum Theory Signal Processing, Computer-Assisted Somatosensory Cortex - physiology Support Vector Machine
ISSN:	0129-0657, 1793-6462, 1793-6462
Online Access:	Get more information
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