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...

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Detalles Bibliográficos
Autores principales: Liu, Gi-Ren, Lustenberger, Caroline, Lo, Yu-Lun, Liu, Wen-Te, Sheu, Yuan-Chung, Wu, Hau-Tieng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180982/
https://www.ncbi.nlm.nih.gov/pubmed/32260314
http://dx.doi.org/10.3390/s20072024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180982/
https://www.ncbi.nlm.nih.gov/pubmed/32260314
http://dx.doi.org/10.3390/s20072024

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