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-  2018 

基于隐马尔可夫模型的枕下无扰式新型睡眠监测方案

DOI: doi:10.7507/1001-5515.201703059

Keywords: 睡眠分期, 心率变异性, 隐马尔可夫模型, 集合经验模态分解

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Abstract:

睡眠状况是评价人体健康状态的重要指标。本文提出一种基于枕下式的无扰睡眠监测系统,通过无扰获取的心率信号测算心率变异性(HRV),并结合隐马尔可夫模型(HMM),在对用户无扰无接触的环境下求解睡眠分期。针对现有 HMM 睡眠分期存在的问题,提出采用集合经验模态分解(EEMD)消除 HRV 个体差异导致的分期误差,再求解相应的睡眠分期。试验选取广州医学院呼吸疾病研究所 10 例不同年龄及性别的无睡眠障碍的院内正常受试者,并与多导睡眠图(PSG)睡眠分期结果相比较。研究结果证明本文所提无扰式睡眠监测方案可实现 S1~S4 睡眠分期,正确率超过 60%,且性能优于现有 HMM 睡眠分期方案

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