Artifact Removal with Independent Component Analysis for 2D Brain Mapping of Drugs User before and after Taking Methadone

Abstract

The recording EEG signals normally contains physiological signals from various sources. The mixed brain signals and artifacts make interpretation and analysis of the EEG signals more difficult. In this study, a new method of drugs abuse detection based brain computer interface (BCI) which recorded with an electroencephalogram is developed. In the processing, the mixed signals need to be separated as interpretation of the drugs abuse detection is improved. In the signal processing, the EEG signal is filtered with baseline correction and band-pass filter and extracted using the Independent Component Analysis method. The brain maps of the subject before and after taking the methadone is distinguished. This study could be used to identify drug abusers and alternative tool for rehabilitation.