發(fā)布時間：2018-01-09 15:08

  本文關(guān)鍵詞：基于有限穿越水平可視圖的短時睡眠心率變異性研究　出處：《物理學報》2017年16期 　論文類型：期刊論文

  更多相關(guān)文章： 有限穿越水平可視圖 睡眠 心率變異性

【摘要】：心率數(shù)據(jù)是最易于獲取的人體生理數(shù)據(jù)之一,基于心率變異性的睡眠分析是近年來各種用于日常健康管理的可穿戴設(shè)備功能的一個重要發(fā)展方向,需要不斷探索可以應(yīng)用于標準睡眠分期時間窗(約30 s)的各類短時特征參數(shù).利用近期報道的有限穿越水平可視圖,并進一步提出一種加權(quán)有限穿越水平可視圖,將不同睡眠狀態(tài)下的短時心率變異序列映射為網(wǎng)絡(luò),進而提取平均集聚系數(shù)、特征路徑長度、集聚系數(shù)熵、路徑分布熵、加權(quán)集聚系數(shù)熵和加權(quán)路徑分布熵等網(wǎng)絡(luò)特征參數(shù)進行統(tǒng)計分析.結(jié)果表明,各網(wǎng)絡(luò)參數(shù)值在醒覺、淺睡期、深睡期和快速眼動期的幅度水平具有顯著差異,體現(xiàn)了所述方法在基于短時心率變異數(shù)據(jù)的睡眠分期中的有效性.同時,進一步研究了健康年輕人和中老年人在不同睡眠狀態(tài)下的網(wǎng)絡(luò)參數(shù)值,發(fā)現(xiàn)兩者雖然存在整體的水平差異,但是在不同睡眠狀態(tài)間的變化仍具有相同的趨勢,反映出相對于正常的年齡老化,睡眠調(diào)制對心臟動力學系統(tǒng)具有更顯著的影響,也說明所述方法可作為基于心率變異性的睡眠研究的一種新的輔助工具.
[Abstract]:Heart rate data is one of the most easily available physiological data of human body. Sleep analysis based on heart rate variability is an important development direction of wearable devices for daily health management in recent years. There is a need to explore all kinds of short-term feature parameters that can be applied to the standard sleep stage time window (about 30 s). Furthermore, a weighted finite traversing horizontal visual map is proposed, which maps short time heart rate variability series under different sleep states into a network, and then extracts the average aggregation coefficient, characteristic path length, and aggregation coefficient entropy. The network characteristic parameters such as path distribution entropy, weighted aggregation coefficient entropy and weighted path distribution entropy are statistically analyzed. The results show that the network parameters are in wake up and shallow sleep period. There were significant differences in amplitude levels between deep sleep and rapid eye movements, which demonstrated the effectiveness of the method in sleep stages based on short term HRV data. At the same time. The network parameters of healthy young people and middle aged people in different sleep states were further studied. It was found that the changes of network parameters in different sleep states still had the same trend although there was an overall level difference between them. It reflects that sleep modulation has a more significant effect on cardiac dynamic system than that of normal aging. It also shows that the proposed method can be used as a new assistant tool for sleep research based on heart rate variability.
【作者單位】： 常熟理工學院物理與電子工程學院;南京大學電子科學與工程學院 生物醫(yī)學電子工程研究所;
【基金】：江蘇省高校自然科學研究項目(批準號:15KJD310002) 國家自然科學基金(批準號:61402057) 江蘇省高校優(yōu)秀中青年教師和校長境外研修計劃(2016年度)資助的課題~~
【分類號】：O157.5;R740
【正文快照】： 1引言睡眠是一種重要的生理活動,對于人體的物理和精神方面的自我恢復具有非常關(guān)鍵的作用[1].根據(jù)美國睡眠醫(yī)學學會(American Academy of SleepMedicine,AASM)發(fā)布的規(guī)范,睡眠過程可以進行分期,具體分為醒覺(wakefulness,W),非快速眼動期(non-rapid eye movement,NREM)和快速

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1 司峻峰;黃曉林;周玲玲;劉紅星;;心率變異性的異方差特征研究[J];物理學報;2014年04期

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本文編號：1401870