Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2007
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/9723/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|