Save Muscle Information-Unfiltered EEG Signal Helps Distinguish Sleep Stages.

Published

Journal Article

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 as possible.

Full Text

Duke Authors

Cited Authors

  • Liu, G-R; Lustenberger, C; Lo, Y-L; Liu, W-T; Sheu, Y-C; Wu, H-T

Published Date

  • April 3, 2020

Published In

Volume / Issue

  • 20 / 7

PubMed ID

  • 32260314

Pubmed Central ID

  • 32260314

Electronic International Standard Serial Number (EISSN)

  • 1424-8220

International Standard Serial Number (ISSN)

  • 1424-8220

Digital Object Identifier (DOI)

  • 10.3390/s20072024

Language

  • eng