Title :
HRV analysis using wavelet transform and wigner - Ville transform
Author :
Deshpande, R.A. ; Ramdasi, Dipali S.
Author_Institution :
Dept. of Instrum. &Control, Cummins Coll. of Eng. for Women, Pune, India
Abstract :
Heart Rate Variability (HRV) is an effective way to analyze the cardiac health of a patient. It gives an association between inclination of a heart for arrhythmias and signs of either increased sympathetic or reduced vagal activity. By heart rate variability, the variations in time intervals between R wave peaks in an electrocardiogram are measured and these variations can be used for analyzing various diseases. In this study HRV data is analyzed on the basis of LF/HF ratio. Wavelet and Wigner Ville Transforms are used for data analysis and the results are mentioned for standard MIT database as well as database collected by using PowerLab.
Keywords :
cardiology; medical disorders; patient diagnosis; wavelet transforms; HRV analysis; MIT database; PowerLab; Wigner-Ville transform; arrhythmias; cardiac health; heart rate variability; vagal activity; wavelet transform; electrocardiogram; tachogram; wavelet transform; wigner ville transform;
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-1664-4
DOI :
10.1109/IECBES.2012.6498110
