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Multi-scale tone entropy in differentiating physiologic and synthetic RR time series

conference contribution
posted on 2013-09-01, 00:00 authored by Chandan KarmakarChandan Karmakar, A H Khandoker, M Palaniswami
Heart rhythm is extrinsically modulated by the autonomic nervous system and recently, the Tone-Entropy (TE) measurement was reported as a measure of autonomic balance and activity in time domain HRV analysis. Current algorithm for T-E measurement describes only beat-to-beat or influence of a heart beat on a train of succeeding beats on a single scale. Therefore, conventional T-E analysis has often not been able to discern various physiological conditions using heart rate variability (HRV) signal. In this study, we will present a mathematical framework to define multi-scale T-E analysis, apply this in differentiating physiological and synthetic RR time series. Finally, we compare the performance of proposed parameters with conventional T-E measurements.

History

Event

Engineering in Medicine and Biology Society & Japanese Society for Medical and Biological Engineering. Conference (35th & 52nd : 2013 : Osaka, Japan)

Volume

2013

Pagination

6135 - 6138

Publisher

IEEE

Location

Osaka, Japan

Place of publication

Piscataway, N.J.

Start date

2013-07-03

End date

2013-07-07

ISSN

1557-170X

ISBN-13

978-1-4577-0216-7

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2013, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE

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