Development of new method of drug abuse detection based brain computer interface

A methods of drugs abuse detection is urgently needed. Currently a conventional method such as urine test, hair test, Functional Magnetic Resonance Imaging, Positron Emission Tomography, and others are used. Those methods, instead of expensive and complicated, it is require a medical experts. Furthermore, this tool cannot be used to detect new variations of drug. In this study, a new method of drugs abuse detection based brain computer interface (BCI) which recorded with an electroencephalogram is developed. In principle, as long as the subject is still be able to remember, then the tool will be able to detect whether ever use a drug or not. In the experiment 15 subjects are tested. In the signal processing, the EEG signal is filtered with baseline correction and band-pass filter and extracted using wavelet symlet method. The brain maps of damaged brains are in sharp contrast to those of brains which have not been subjected to drug abuse. This studies could be used to identify drug abusers and alternative tool for rehabilitation. (paper)