DocumentCode
471999
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
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
4514
Lastpage
4518
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259511
Filename
4462805
Link To Document