基于心率变异性的高水平运动员睡眠阶段分期分析

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中图分类号：TP391；G804.49 文献标志码：A 文章编号：1671-024X（2025）04-0052-08

Analysis of sleep stage classification in elite athletes based on HRV

CHANG Ning 1，2， XIAO Yunhan²，WAN Shuai²，HU Xin²， ZHANG Shaofan²， CUI Yuting³， GENG Jiaxian4

（1.SchoolofLifeScienceandTechnology，Xi'anJiaotong University，Xi'an71049，China；2.Xi'anPhysicalEducation University，Xi'an 710068，China;3.Baoji Universityof Artsand Sciences，Baoji 721013，Shaanxi Province，China; 4. Collge of Physical Education，Huzhou University，Huzhou 313ooo，Zhejiang Province，China）

Abstract：To evaluate the feasibilityof heartratevariability（HRV）-based wearabledevices for sleepmonitoring in elite athletes，a comparative study was conducted between the Firstbeat monitoring system and polysomnography （PSG）.Thirty elite athletes underwent simultaneous monitoring using Firstbeat Bodyguard3 and PSG recorders during two consecutive nights， yielding 6O nights of synchronized sleep data. Sleep stages including wakefulness， light sleep，slow wave sleep （SWS），and rapid eye movement （REM） sleep were systematically compared.The results showed no significant differences in the duration of allsleep stages measured byFirstbeat and PSG（ p> 0.05）.For wakefulness，specificity was O.87，sensitivity was 0.93，and accuracy was O.90.For SWS，specificity was O.91，sensitivity was O.78，and accuracy was O.83.For REM sleep，specificity wasO.8，sensitivity was 0.6，and accuracy was O.84. The confusion matrix revealed accuracy rates of 76.6% for wakefulness， 67.2% for light sleep， 70.6% for SWS，and 58.4% forREMsleep.These findings indicate that the Firstbeat system can effectively monitor wakefulness and SWS，providing a feasible alternative for sleep assessment in elite athletes.

Key words： heart rate variability（HRV）；sleep stage classification;Firstbeat monitoring system; eliteathletes

在竞技体育领域，充足且高质量的睡眠不仅是运动员恢复体能、预防伤病的重要保障，更是维持最佳竞技状态的关键因素。（剩余15725字）