Title :
Removal of artifacts from EEG signals using adaptive filter through wavelet transform
Author :
Kumar, P. Senthil ; Arumuganathan, R. ; Sivakumar, K. ; Vimal, C.
Author_Institution :
Dept. of Math. & Comput. Applic., PSG Coll. of Technol., Coimbatore
Abstract :
This paper presents an adaptive method for removing electroocular (EOG) artifacts in the electroencephalogram (EEG) records. Artifacts in EEG signals are caused by various factors, like line interference, EOG ( electro-oculogram ) and ECG ( electrocardiogram). These noise sources increase the difficulty in analyzing the EEG and obtaining clinical information. For this reason, it is necessary to design specific filters to decrease such artifacts in EEG records. In this paper, we proposed an adaptive filtering method for removing ocular artifacts from EEG recordings using wavelet transform.
Keywords :
adaptive filters; electro-oculography; electrocardiography; electroencephalography; medical signal processing; wavelet transforms; ECG; EEG signals; EOG; adaptive filter; clinical information; electro-oculogram; electrocardiogram; electroencephalogram records; line interference; ocular artifacts removal; wavelet transform; Adaptive filters; Additive noise; Electroencephalography; Electrooculography; Finite impulse response filter; Interference; Mathematics; Noise cancellation; Nonlinear filters; Wavelet transforms;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697569
