DocumentCode :
3587505
Title :
Detection of non-linear characteristics of HRV patterns for different yoga postures
Author :
Pitale, Rahul R. ; Tajane, Kapil D. ; Umale, Jayant S.
Author_Institution :
Dept. of Comput. Eng., PCCOE, Pune, India
fYear :
2014
Firstpage :
1
Lastpage :
5
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.
Keywords :
Fourier transforms; bioelectric potentials; electrocardiography; medical signal processing; wavelet transforms; ECG; Fourier transforms; HRV patterns; RQA; Wavelet transforms; Yoagasanas; electrical signal; heart beat; heart rate variability; nonlinear characteristic detection; recurrence quantification analysis; yoga postures; Computers; Fourier transforms; Heart rate variability; Multiresolution analysis; Support vector machines; Wavelet transforms; Fourier; HRV; KDD; RQA; SVM; Wavelet; Yoga; Yogasanas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence of Technology (I2CT), 2014 International Conference for
Print_ISBN :
978-1-4799-3758-5
Type :
conf
DOI :
10.1109/I2CT.2014.7092200
Filename :
7092200
Link To Document :
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