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Does the temporal asymmetry of short-term heart rate variability change during regular walking? A pilot study of healthy young subjects

Wang, Xinpei, Yan, Chang, Shi, Bo, Liu, Changchun, Karmakar, Chandan and Li, Peng 2018, Does the temporal asymmetry of short-term heart rate variability change during regular walking? A pilot study of healthy young subjects, Computational and mathematical methods in medicine, vol. 2018, pp. 1-9, doi: 10.1155/2018/3543048.

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Title Does the temporal asymmetry of short-term heart rate variability change during regular walking? A pilot study of healthy young subjects
Author(s) Wang, Xinpei
Yan, Chang
Shi, Bo
Liu, Changchun
Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Li, Peng
Journal name Computational and mathematical methods in medicine
Volume number 2018
Article ID 3543048
Start page 1
End page 9
Total pages 9
Publisher Hindawi
Place of publication New York, N.Y.
Publication date 2018
ISSN 1748-6718
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Mathematical & Computational Biology
MULTISCALE TIME IRREVERSIBILITY
MYOCARDIAL-INFARCTION
RATE DYNAMICS
LONG-TERM
EXERCISE
ENTROPY
SERIES
Summary The acceleration and deceleration patterns in heartbeat fluctuations distribute asymmetrically, which is known as heart rate asymmetry (HRA). It is hypothesized that HRA reflects the balancing regulation of the sympathetic and parasympathetic nervous systems. This study was designed to examine whether altered autonomic balance during exercise can lead to HRA changes. Sixteen healthy college students were enrolled, and each student undertook two 5-min ECG measurements: one in a resting seated position and another while walking on a treadmill at a regular speed of 5 km/h. The two measurements were conducted in a randomized order, and a 30-min rest was required between them. RR interval time series were extracted from the 5-min ECG data, and HRA (short-term) was estimated using four established metrics, that is, Porta’s index (PI), Guzik’s index (GI), slope index (SI), and area index (AI), from both raw RR interval time series and the time series after wavelet detrending that removes the low-frequency component of <~0.03 Hz. Our pilot data showed a reduced PI but unchanged GI, SI, and AI during walking compared to resting seated position based on the raw data. Based on the wavelet-detrended data, reduced PI, SI, and AI were observed while GI still showed no significant changes. The reduced PI during walking based on both raw and detrended data which suggests less short-term HRA may underline the belief that vagal tone is withdrawn during low-intensity exercise. GI may not be sensitive to short-term HRA. The reduced SI and AI based on detrended data suggest that they may capture both short- and long-term HRA features and that the expected change in short-term HRA is amplified after removing the trend that is supposed to link to long-term component. Further studies with more subjects and longer measurements are warranted to validate our observations and to examine these additional hypotheses.
Language eng
DOI 10.1155/2018/3543048
Field of Research 0102 Applied Mathematics
0903 Biomedical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, Xinpei Wang et al.
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109522

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.