Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm
Document Type
Conference Item
Publication Date
11-1-2007
Abstract
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. Proposed method uses horizontal EOG (HEOG), vertical EOG (VEOG), and EMG signals as three reference digital filter inputs. The real-time artifact removal is implemented by multi-channel Least Mean Square algorithm. The resulting EEG signals display an accurate and artifact free feature.
Keywords
EEG, EMG, EOG, Finite Impulse Response, Least Mean Square, Noise cancellation, Real-time -adaptive filter, EEG, EMG, EOG, Finite Impulse Response, Least Mean Square, Noise cancellation, Real-time -adaptive filter
Divisions
fac_eng
Event Title
2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Event Location
Kuala Lumpur, Malaysia
Event Dates
25 - 28 November 2007
Event Type
conference
Additional Information
ISBN: 1424413559;978-142441355-3 DOI: 10.1109/ICIAS.2007.4658583