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Recovery of heart rate variability after treadmill exercise analyzed by lagged Poincaré plot and spectral characteristics

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journal contribution
posted on 18.08.2017, 12:35 by Ping Shi, Sijung HuSijung Hu, Hongliu Yu
© 2017 International Federation for Medical and Biological Engineering The aim of this study was to analyze the recovery of heart rate variability (HRV) after treadmill exercise and to investigate the autonomic nervous system response after exercise. Frequency domain indices, i.e., LF(ms 2 ), HF(ms 2 ), LF(n.u.), HF(n.u.) and LF/HF, and lagged Poincaré plot width (SD1 m ) and length (SD2 m ) were introduced for comparison between the baseline period (Pre-E) before treadmill running and two periods after treadmill running (Post-E1 and Post-E2). The correlations between lagged Poincaré plot indices and frequency domain indices were applied to reveal the long-range correlation between linear and nonlinear indices during the recovery of HRV. The results suggested entirely attenuated autonomic nervous activity to the heart following the treadmill exercise. After the treadmill running, the sympathetic nerves achieved dominance and the parasympathetic activity was suppressed, which lasted for more than 4 min. The correlation coefficients between lagged Poincaré plot indices and spectral power indices could separate not only Pre-E and two sessions after the treadmill running, but also the two sessions in recovery periods, i.e., Post-E1 and Post-E2. Lagged Poincaré plot as an innovative nonlinear method showed a better performance over linear frequency domain analysis and conventional nonlinear Poincaré plot.

Funding

This work was supported by Innovation Program of Shanghai Municipal Education Commission (Grant No. 14YZ091).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Medical and Biological Engineering and Computing

Pages

1 - 11

Citation

SHI, P., HU, S. and YU, H., 2018. Recovery of heart rate variability after treadmill exercise analyzed by lagged Poincaré plot and spectral characteristics. Medical and Biological Engineering and Computing, 56(2), 221-231.

Publisher

© International Federation for Medical and Biological Engineering. Published by Springer.

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2018

Notes

This is a post-peer-review, pre-copyedit version of an article published in Medical and Biological Engineering and Computing. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11517-017-1682-2.

ISSN

0140-0118

eISSN

1741-0444

Language

en