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Automatic detection of sleep apnea events based on inter-band energy ratio obtained from multi-band EEG signal
Sleep apnea is a potentially serious sleep disorder characterised by abnormal pauses in breathing. Electroencephalogram (EEG) signal analysis plays an important role for detecting sleep apnea events. In this research work, a method is proposed on the basis of inter-band energy ratio features obtaine...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Institution of Engineering and Technology
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595536/ https://www.ncbi.nlm.nih.gov/pubmed/31341633 http://dx.doi.org/10.1049/htl.2018.5101 |