Save Muscle Information-Unfiltered EEG Signal Helps Distinguish Sleep Stages.
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ABSTRACT:
SUBMITTER: Liu GR
PROVIDER: S-EPMC7180982 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Publications
Save Muscle Information-Unfiltered EEG Signal Helps Distinguish Sleep Stages.
Liu Gi-Ren GR Lustenberger Caroline C Lo Yu-Lun YL Liu Wen-Te WT Sheu Yuan-Chung YC Wu Hau-Tieng HT
Sensors (Basel, Switzerland) 20200403 7
Based on the well-established biopotential theory, we hypothesize that the high frequency spectral information, like that higher than 100Hz, of the EEG signal recorded in the off-the-shelf EEG sensor contains muscle tone information. We show that an existing automatic sleep stage annotation algorithm can be improved by taking this information into account. This result suggests that if possible, we should sample the EEG signal with a high sampling rate, and preserve as much spectral information a ...[more]
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