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Comparative HRV Analysis of ECG Signal in the Context of Sportsperson under Post-Exercise and Relaxed Condition

机译:运动后和放松状态下运动员背景下心电信号的HRV比较分析

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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.
机译:心电图(ECG)信号的心率变异性(HRV)分析用于检查运动员的健康状况。对于当前的工作,从定期参加体育活动的两种不同身体状况的11名参与者中获取了总共22份数据。刚打完羽毛球并跑步400-600 m后,就采集了一组数据,而在正常状态下(即放松状态)则采集了另一组ECG数据。对获取的ECG信号进行预处理,以消除电力线频率,消除基线漂移(BW),消除低频噪声。平滑滤波器还用于去除高频噪声以使波平滑。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。在两种不同的情况下,即运动后和放松状态下,分析了平均心率,平均RR间隔,SDNN,RMSSD,NN50,pNN50等主要HRV参数。除了HRV之外,还在样本熵,近似熵等竞赛中对信号进行复杂度分析。

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