Save Muscle Information–Unfiltered EEG Signal Helps Distinguish Sleep Stages
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 algorith...
| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
MDPI AG
2020-04-01
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| Sarja: | Sensors |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/1424-8220/20/7/2024 |