Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm

• Main Authors: Mehrkanoon, S., Moghavvemi, M., Fariborzi, H.
• Format: Conference or Workshop Item
• Published: 2007
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/9723/

The EEG signal is most useful for clinical diagnosis and in biomedical research. ElectroOculoGram (EOG), ElectroMyoGram (EMG) artifact are produced by eye movement and facial muscle movement respectively. An adaptive filtering method is proposed to remove these artifacts signals from EEG signals. Pr...