NDLI: HRV analysis using wavelet transform and wigner - Ville transform

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2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences

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2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

HRV analysis using wavelet transform and wigner - Ville transform

Content Provider	IEEE Xplore Digital Library
Author	Deshpande, R.A. Ramdasi, D.S.
Copyright Year	2012
Description	Author affiliation: Department of Instrumentation & Control, Cummins College of Engineering for Women, Pune, Maharashtra, India (Deshpande, R.A.; Ramdasi, D.S.)
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.
Starting Page	52
Ending Page	56
File Size	715380
Page Count	5
File Format	PDF
ISBN	9781467316644
e-ISBN	9781467316668
DOI	10.1109/IECBES.2012.6498110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-17
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tachogram Wavelet transform Electrocardiogram Wigner ville transform
Content Type	Text
Resource Type	Article

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