A detection scheme for frontalis and temporalis muscle EMG contamination of EEG data.
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.
Fu
Michael J
MJ
Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH 44106, USA. mjfu@case.edu
Daly
Janis J
JJ
Cavuşoğlu
M Cenk
MC
D000328:Adult; D000465:Algorithms; D001931:Brain Mapping / Q000379:methods; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D004576:Electromyography / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D005152:Facial Muscles / Q000033:anatomy & histology*; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009119:Muscle Contraction; D018482:Muscle, Skeletal; D012815:Signal Processing, Computer-Assisted; D013703:Temporal Muscle / Q000033:anatomy & histology*; D014584:User-Computer Interface