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Updated: Jul 10, 2026
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A detection scheme for frontalis and temporalis muscle EMG contamination of EEG data
Michael J Fu1, Janis J Daly, M Cenk Cavuşoğlu
1Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH 44106, USA. mjfu@case.edu
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.
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