Novel type of unperturbed sleep monitoring scheme under pillow based on hidden Markov model

被引：2

作者：

Li, Xiang ^{[1
]}

Liu, Yong ^{[2
]}

Chen, Pengbin ^{[2
]}

Wu, Jiewei ^{[1
]}

Zhang, Han ^{[1
,2
,3
]}

机构：

[1] Institute of Physics and Telecommunication Engineering, South China Normal University, Guangzhou,510006, China

[2] Guangzhou SENVIV Technology Co. Ltd, Guangzhou,510006, China

[3] Guangdong Provincial Engineering Research Center for Cardiovascular Individual Medicine and Big Data, Guangzhou,510006, China

来源：

Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering | 2018年 / 35卷 / 02期

关键词：

Hidden Markov models - Heart - Patient monitoring - Sleep research;

D O I：

10.7507/1001-5515.201703059

中图分类号：

学科分类号：

摘要：

Sleep status is an important indicator to evaluate the health status of human beings. In this paper, we proposed a novel type of unperturbed sleep monitoring system under pillow to identify the pattern change of heart rate variability (HRV) through obtained RR interval signal, and to calculate the corresponding sleep stages combined with hidden Markov model (HMM) under the no-perception condition. In order to solve the existing problems of sleep staging based on HMM, ensemble empirical mode decomposition (EEMD) was proposed to eliminate the error caused by the individual differences in HRV and then to calculate the corresponding sleep stages. Ten normal subjects of different age and gender without sleep disorders were selected from Guangzhou Institute of Respirator Diseases for heart rate monitoring. Comparing sleep stage results based on HMM to that of polysomnography (PSG), the experimental results validate that the proposed noninvasive monitoring system can capture the sleep stages S1-S4 with an accuracy more than 60%, and performs superior to that of the existing sleep staging scheme based on HMM. Copyright © 2018 by Editorial Office of Journal of Biomedical Engineering.

引用

页码：280 / 289