Title :
A Detection Scheme for Frontalis and Temporalis Muscle EMG Contamination of EEG Data
Author :
Fu, Michael J. ; Daly, Janis J. ; Cavusoglu, M. Cenk
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
Electroencephalogram (EEG) recordings are highly susceptible to noise from electromyogram (EMG) signals of the frontalis and temporalis muscles. In this paper, we propose and evaluate a new method for detecting frontalis and temporalis muscle EMG contamination in EEG signals based on recent findings on topographic and spectral characteristics of cranial EMG
Keywords :
electroencephalography; electromyography; medical signal processing; parameter estimation; spatial filters; EEG; EMG contamination; cranial EMG; electroencephalogram recordings; electromyogram signals; frontalis muscle; parameter selection; spatial filtering; spectral characteristics; temporalis muscle; topographic characteristics; Contamination; Cranial; Distortion; Electrodes; Electroencephalography; Electromyography; Electrooculography; Independent component analysis; Muscles; Scalp;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259511
