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Wavelet Based Analysis of the Heart Rate during Recovery in a Guided Rehabilitation Exercise Program

机译:基于小波的恢复过程中的心率分析

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Exercise testing as a part of the Cardiac Rehabilitation (CR) has been reported to be beneficial for patients with Coronary Artery Disease. Abnormal heart rate during the recovery phase of the exercise has been proven to contain information concerning patient's clinical status. Many studies also denoted the significance of the first two minutes of the recovery as a predictor of mortality. In this study, employing signals recorded from patients during a CR exercise program at home, instead of a stress test in a clinical environment, we analyzed the HR signal toward the understanding of the balance of sympathetic and parasympathetic nervous system at the start of the program and after its completion. Features from time and frequency domain, already used for the evaluation of the exercise, were implemented. As an amelioration of the patient's status is detected based on these features, while the CR program proceeds, we used wavelet domain features in order to understand the modification of the sympathovagal activity with regards to the evolution of the recovery phase. Unlike the already used features, the wavelet domain ones are able to reveal information concerning the modification of the Autonomous Nervous System balance during the recovery which is achieved as the CR program proceeds, as well as the importance of the 2 first minutes of the recovery, even in a CR program performed at home.
机译:据报道,作为心脏康复(CR)的一部分的运动测试对冠状动脉疾病的患者有益。已经证明,锻炼的回收阶段的心率异常,以包含有关患者临床状况的信息。许多研究也表示,恢复的前两分钟作为死亡率预测的重要性。在这项研究中,在家庭CR运动计划期间使用从患者记录的信号,而不是在临床环境中进行压力测试,我们分析了人力资源信号,以了解计划开始时交感神经和副交感神经系统的平衡完成后。已经实施了已经用于评估练习的时间和频域的特征。由于基于这些特征来检测患者地位的改进,而CR程序进行,我们使用小波域特征,以了解对恢复阶​​段的演变的同步性活动的修改。与已经使用的特征不同,小波域域能够透露关于在恢复期间进行自主神经系统平衡的修改的信息,这是由于CR程序所达到的恢复,以及恢复的第一分钟的重要性,即使在家里执行的CR计划中。

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