An EEG artifact detection and removal technique for embedded processors

摘要

Neurophysiological signals such as Electroencephalogram (EEG) can be used in a variety of purposes including detecting fatigue, stress, brain disorders, brain-computer interfaces (BCIs), or building better models of human variability and human brain. However, EEG signal is frequently defiled with other electrical sources not related to brain activity. These artifacts may emerge from external sources such as eye blinks, muscle & head movement, and power lines. Existing techniques for removing artifacts such as independent component analysis (ICA) are highly computationally intensive and need to process data offline due in large part to the highly volatile, non-stationary nature of the brain signals, especially in natural, noise-ridden environments.