Cargando…
Knowledge-based identification of sleep stages based on two forehead electroencephalogram channels
Sleep quality is important, especially given the considerable number of sleep-related pathologies. The distribution of sleep stages is a highly effective and objective way of quantifying sleep quality. As a standard multi-channel recording used in the study of sleep, polysomnography (PSG) is a widel...
Autores principales: | Huang, Chih-Sheng, Lin, Chun-Ling, Ko, Li-Wei, Liu, Shen-Yi, Su, Tung-Ping, Lin, Chin-Teng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154530/ https://www.ncbi.nlm.nih.gov/pubmed/25237291 http://dx.doi.org/10.3389/fnins.2014.00263 |
Ejemplares similares
-
Sleep-Stage Correlates of Hippocampal Electroencephalogram in Primates
por: Tamura, Ryoi, et al.
Publicado: (2013) -
A Film Electrode upon Nanoarchitectonics of Bacterial Cellulose and Conductive Fabric for Forehead Electroencephalogram Measurement
por: Gao, Kunpeng, et al.
Publicado: (2023) -
Characteristics of Electroencephalogram Arousals of Sleep-disordered Breathing Children at Different Sleep Stages
por: Liu, Da-Bo, et al.
Publicado: (2016) -
Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition
por: Chan, Hui-Ling, et al.
Publicado: (2018) -
Complexity of Multi-Channel Electroencephalogram Signal Analysis in Childhood Absence Epilepsy
por: Weng, Wen-Chin, et al.
Publicado: (2015)