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以心率和心率变异性为指标的疲劳分析系统 被引量:11

Fatigue analysis system with HR and HRV as indexes
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摘要 从心电信号中提取心率(HR)和心率变异性(HRV),并对其5项时频域指标进行分析。实验结果发现:疲劳后,HRV时域测量指标中的正常R-R间期的标准差(SDNN)明显上升,HRV频域测量指标中的总功率值TP明显上升,低频段功率值LF明显上升,高频段功率值HF明显下降,LF与HF的比值LF/HF明显上升。并根据其上升与下降的速率的不同划分疲劳等级。因而,采用此5项心电图时频域指标,可以对疲劳程度进行定量化的反映和评价。 In this paper, heart rate (HR) and heart rate variability (HRV) are extracted from ECG, and the five indexes in both time and frequency domains are analyzed. The result shows that the standard deviation (SDNN) of R-R intervals, the value of total power (TP), the power value of low frequency (LF) of HRV and the value of LF/HF increase obviously, while the power value of high frequency (HF) decreases markedly after fatigue. The physical fatigue level is classified according to the rate of increase and decrease of the indexes above. It is suggested that these five ECG indexes be used to reflect and evaluate the degree of physical fatigue quantitatively.
出处 《医疗卫生装备》 CAS 2005年第8期1-2,共2页 Chinese Medical Equipment Journal
基金 重庆大学生物工程创新人才培训基金
关键词 疲劳检测 MATLAB 心率变异性 时域分析 频域分析 fatigue assessment MATLAB HRV time-domain analysis frequency-domain analysis
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