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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7788
Title: Sample entropy-based HRV characterisation
Authors: Sunkaria R.K.
Kumar V.
Saxena S.C.
Published in: International Journal of Medical Engineering and Informatics
Abstract: The non-linear methods-based heart rate variability analyses are widely becoming popular as these are based upon analysing original RR-interval series. The sample entropy (SampEn) is one of these methods used for quantifying signal complexity, and is based upon hypothesis that decreasing entropy is a pointer towards loss of heart rate variability (HRV). This paper characterises the sample entropy-based HRV quantification in healthy subjects of different age groups. It clearly demonstrates that sample entropy decreases in higher age groups, which indicates loss of HRV. The tolerance or threshold for template matching affects the entropy magnitude of cardiovascular time series, but it remains nearly same at fixed value of 'r' for data lengths of the order of 10m to 30m. Copyright © 2012 Inderscience Enterprises Ltd.
Citation: International Journal of Medical Engineering and Informatics (2012), 4(4): 398-405
URI: https://doi.org/10.1504/IJMEI.2012.050288
http://repository.iitr.ac.in/handle/123456789/7788
Issue Date: 2012
Publisher: Inderscience Publishers
Keywords: Heart rate variability
HRV
Non-linear methods
SampEn
Sample entropy
Signal complexity
Tolerance
ISSN: 17550653
Author Scopus IDs: 35787505800
25646515800
35787752000
Author Affiliations: Sunkaria, R.K., Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, 144011, India
Kumar, V., Electrical Engineering Department, Indian Institute of Technology Roorkee, Roorkee, Uttaranchal, 247667, India
Saxena, S.C., Jaypee Institutes of Information Technology, Noida, Uttar Pradesh, 201307, India
Corresponding Author: Sunkaria, R.K.; Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, 144011, India; email: sunkariark@gmail.com
Appears in Collections:Journal Publications [EE]

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