I. Introduction
Electroencephalogram (EEG) monitoring has wide range of applications — from the diagnosis and treatment of a number of brain-related diseases and disorders to brain-computer interactive technologies for every-day application. Ideally, patients suffering from a number of neurological conditions such as epilepsy, post-traumatic brain injury, Alzheimer's disease, and more would benefit from continuous, noninvasive, and high-resolution measurement of EEG during activities of daily living (ADL) [1]. Interactive systems that maximize the flexibility of the human brain with the efficiency of computer technology such as search target recognition, drowsiness detection, and human-robot interaction will require minimal intrusion upon and maintenance from the user [2], [3].
Traditional multi-channel EEG acquisition approach