运动员运动后与放松状态下心电信号的HRV对比分析

Prashant Kumar, Ashis Kumar Das, S. Halder
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引用次数: 0

摘要

心率变异性(HRV)分析的心电图(ECG)信号是用来检查健康状况的运动员。在目前的工作中,共有22个数据来自11名参与者,他们在两种不同的身体状况下进行定期体育活动。一组数据是在刚打完羽毛球和400-600米跑步后采集的,另一组数据是在正常即放松状态下采集的。对采集到的心电信号进行去除电力线频率、去除基线漂移、去除低频噪声等预处理。平滑滤波器还用于去除高频噪声以平滑波。滤波后的信号用于HRV分析。HRV与平均心率(HR)心动过速和心动过缓有关。分析运动后和放松状态下的平均心率、平均RR-interval、SDNN、RMSSD、NN50、pNN50等主要HRV参数。除了HRV,信号的复杂度分析也在样本熵、近似熵等方面进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative HRV Analysis of ECG Signal in the Context of Sportsperson under Post-Exercise and Relaxed Condition
Heart rate variability (HRV) analysis of electrocardiogram (ECG) signal is used to examine the health condition of the sportsperson. For the present work, a total of 22 numbers of data were taken from eleven participants in two different physical conditions who are under regular sporting activity. One set of data were taken just after playing badminton and 400–600 m run and another set of ECG data were taken in the normal i.e., relaxed condition. Acquired ECG signal is pre-processed for removal of powerline frequency, baseline wander (BW) removal, removal of low-frequency noise. The smoothening filter is also used for removal of high-frequency noise for smoothing of the wave. The filtered signals are used for HRV analysis. HRV is associated with average heart rate (HR) tachycardia and bradycardia. Main HRV parameters like mean heart rate, mean RR-interval, SDNN, RMSSD, NN50, pNN50 are analyzed in two different conditions namely post exercise and relaxed condition. In addition to HRV, the complexity analysis of the signal is also being done in the contest of sample entropy, approximate entropy etc.
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