Efficient subspace based techniques for processing single channel electroencephalogram signals

Abstract

In recent years the use of portable wearable EEG systems in health care applications has been increased due its low power consumption easy to operate and minimum instrumentation complexity and reduces the cumbersome to the subject under test In general the EEG signals often measured in ambulatory situations hence they were contaminated by several artifacts The presence of these artifacts will degrade the performance of EEG based detection systems Since the portable EEG devices comprise