Save muscle information–unfiltered eeg signal helps distinguish sleep stages

Gi Ren Liu, Caroline Lustenberger, Yu Lun Lo, Wen Te Liu, Yuan Chung Sheu, Hau Tieng Wu

研究成果: 雜誌貢獻文章同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.
原文英語
文章編號2024
期刊Sensors (Switzerland)
20
發行號7
DOIs
出版狀態已發佈 - 4月 2020

ASJC Scopus subject areas

  • 分析化學
  • 生物化學
  • 原子與分子物理與光學
  • 儀器
  • 電氣與電子工程

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