Automatic sleep identification using the novel hybrid feature selection method for HRV signal

Automatic sleep identification using the novel hybrid feature selection method for HRV signal

Automatic sleep identification has important practical significance. The Rapid Eye Movement (REM) sleep correlated with the activity of autonomic nervous system (ANS) can be identified by heart rate variability (HRV) signal analysis. This paper built REM/NREM automatic identification model for HRV s...

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Bibliographic Details
Main Authors: Xiang Li, Zhu Zhao, Yidi Zhu, Qian Zhao, Jin Li, Feilong Feng
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Automatic sleep identification
Hybrid feature selection method
Rapid eye movement sleep
Heart rate variability
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990022000027

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http://www.sciencedirect.com/science/article/pii/S2666990022000027

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