Detection of non-linear characteristics of HRV patterns for different yoga postures

Rahul Pitale, Kapil Tajane, J. Umale
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引用次数: 2

Abstract

In today's era Heart Rate Variability becomes an significant characteristic to determine the condition of heart. Human Heart generates the electrical signal. ECG is used to detect the heart beat. In this paper we proposed new technique to detect linear as well as non-linear characteristics of HRV of different yoga postures using different methods. In this paper we give the brief survey about the methods which are used to detect HRV patterns such as Fourier, Wavelet, RQA etc. Yoga plays a vital role to control the heart signals there is a relationship between Yoga and HRV we want to investigate such relationship between Yoga and HRV which will definitely enhance the utility of Yoagasanas in therapeutics.
不同瑜伽姿势HRV模式的非线性特征检测
在当今时代,心率变异性成为判断心脏状况的重要特征。人的心脏产生电信号。心电图是用来检测心跳的。本文提出了一种新的方法来检测不同瑜伽姿势的心率波动的线性和非线性特征。本文简要介绍了用于检测HRV模式的方法,如傅里叶、小波、RQA等。瑜伽在控制心脏信号方面起着至关重要的作用,瑜伽和HRV之间有关系,我们想研究瑜伽和HRV之间的关系,这肯定会提高Yoagasanas在治疗中的效用。
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