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Title: Recovery of heart rate variability after treadmill exercise analyzed by lagged Poincaré plot and spectral characteristics
Authors: Shi, Ping
Hu, Sijung
Yu, Hongliu
Keywords: Heart rate variability
Autonomic nervous system
Lagged Poincare plot
Frequency parameter
Issue Date: 2017
Publisher: © International Federation for Medical and Biological Engineering. Published by Springer.
Citation: SHI, P., HU, S. and YU, H., 2017. Recovery of heart rate variability after treadmill exercise analyzed by lagged Poincaré plot and spectral characteristics. Medical and Biological Engineering and Computing, In Press.
Abstract: © 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.
Description: This paper is in closed access until 11/07/2018.
Sponsor: This work was supported by Innovation Program of Shanghai Municipal Education Commission (Grant No. 14YZ091).
Version: Accepted for publication
DOI: 10.1007/s11517-017-1682-2
URI: https://dspace.lboro.ac.uk/2134/26131
Publisher Link: http://dx.doi.org/10.1007/s11517-017-1682-2
ISSN: 0140-0118
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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