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作 者:肖蒙[1] 严洪[1] 宋晋忠[1] 杨渝舟 杨向林[1]
出 处:《现代生物医学进展》2013年第33期6405-6409,共5页Progress in Modern Biomedicine
基 金:航天医学基础与应用国家重点实验室资助项目(SMFA12B09);中国载人航天预先研究项目(SJ201006)
摘 要:目的:研究互信息和自相关函数在睡眠各阶段心率变异性(heart rate variability,HRV)分析中的应用。方法:采用网络公开数据库Sleep Heart Rate and Stroke Volume Data Bank,将RR序列分为30 s一段,并以每30 s数据为中心截取5 min RR序列作为待分析对象。提取5 min RR序列的互信息特征BD M、PDM和自相关函数特征BD C、PDC,然后用统计方法分析各特征在觉醒/REM/浅睡/深睡四种睡眠状态下的差异。结果:浅睡和深睡期间,BD M、PDM显著高于觉醒和REM睡眠(P<0.001),而BD C显著低于觉醒和REM睡眠(P<0.001),PD C无显著差异(P>0.05)。结论:①BD M、PDM和BD C从不同角度反映了不同睡眠阶段下RR序列的特征,它们或许与HRV不同的调节机制有关。②BD M、PDM和BD C可作为辅助HRV睡眠分期的新指标。Objective: To research the application of mutual information and autocorrelation function on the analysis of heart rate variability (HRV) during different sleep stages. Methods: The online public database Sleep Heart Rate and Stroke Volume Data Bank was adopted. The whole record was segmented into 30 s epochs at first, and then 5 min segments center around each 30 s epoch were extracted as data to be analyzed. Afterwards, the mutual information features, i.e. BDM and PDM, and autoeorrelation function features, i.e. BDc and PDc of RR sequence were determined for each 5 min epochs. At last, the significance levels between different sleep stages (wake/RENFlight sleep/deep sleep) for every feature were evaluated through statistical method. Results: BDM and PDM during light sleep and deep sleep were significantly higher than those in wake and REM sleep (P〈0.001), while BDc were significantly lower than those in wake and REM sleep (P〈0.001). And no significant difference of PDc was showed among different sleep stages (P〉0.05). Conclusion:① BDM, PDM and BDc could reflect the features of RR sequence during differem sleep stages, which might be related to different regulation mechanism ofHRV. ②BDM, PDM and BDc could be used as new indicators for sleep stages classification based on HRV.
分 类 号:R318[医药卫生—生物医学工程] R319[医药卫生—基础医学]
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