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      A detection scheme for frontalis and temporalis muscle EMG contamination of EEG data.

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          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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          Author and article information

          Journal
          Conf Proc IEEE Eng Med Biol Soc
          Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
          Institute of Electrical and Electronics Engineers (IEEE)
          1557-170X
          1557-170X
          October 20 2007
          : 2006
          Affiliations
          [1 ] Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH 44106, USA. mjfu@case.edu
          Article
          10.1109/IEMBS.2006.259511
          17946635
          4a425054-863b-4b1d-8d39-1c77b2e0d7e2
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