基于心电参数的睡眠觉醒识别方法的研究

Identification of Sleep and Wake Based on ECG Parameters

目的研究一种基于心电参数的睡眠、觉醒识别方法。方法用KF2型动态多参数生理检测仪和多导睡眠监测系统同时记录受试者夜晚睡眠时的生理信号,用统计方法研究基于心电参数的睡眠觉醒识别算法。结果样本数据睡眠、觉醒平均判别准确率为86.0%。结论基于心电参数的识别算法对睡眠、觉醒的判别结果与PSG的一致性较高,因而用心电参数进行基本的睡眠觉醒判别是可行的。

Objective Trying to identify the state of sleep and wake using ECG parameters. Methods Recording physiological signals of testee using KF2 dynamic multi-parameter physiological detecting device and polysomnography （PSG） simultaneously to establish the sleep-wake identification method based on ECG parameters. Results The agreement of sample data with PSG was 86.0% in identification of sleep and wake. Conclusion As the identification algorithm based on ECG parameters has a higher consistency of the results with PSG in identification of sleep and wake, ECG parameters provide a feasible method with basic identification of sleep and wake state.