posted on 2019-08-23, 15:55authored byB Shi, Y Zhang, C Yuan, S Wang, P Li
Entropy measures have been extensively used to assess heart rate variability (HRV),
a noninvasive marker of cardiovascular autonomic regulation. It is yet to be elucidated whether
those entropy measures can sensitively respond to changes of autonomic balance and whether
the responses, if there are any, are consistent across different entropy measures. Sixteen healthy
subjects were enrolled in this study. Each subject 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.
For each subject, the two measurements were conducted in a randomized order and a 30-min rest
was required between them. HRV time series were derived and were analyzed by eight entropy
measures, i.e., approximate entropy (ApEn), corrected ApEn (cApEn), sample entropy (SampEn),
fuzzy entropy without removing local trend (FuzzyEn-g), fuzzy entropy with local trend removal
(FuzzyEn-l), permutation entropy (PermEn), conditional entropy (CE), and distribution entropy
(DistEn). Compared to resting seated position, regular walking led to significantly reduced CE and
DistEn (both p ≤ 0.006; Cohen’s d = 0.9 for CE, d = 1.7 for DistEn), and increased PermEn (p < 0.0001;
d = 1.9), while all these changes disappeared after performing a linear detrend or a wavelet detrend
(<~0.03 Hz) on HRV. In addition, cApEn, SampEn, FuzzyEn-g, and FuzzyEn-l showed significant
decreases during regular walking after linear detrending (all p < 0.006; 0.8 < d < 1), while a significantly
increased ApEn (p < 0.0001; d = 1.9) and a significantly reduced cApEn (p = 0.0006; d = 0.8) were
observed after wavelet detrending. To conclude, multiple entropy analyses should be performed to
assess HRV in order for objective results and caution should be paid when drawing conclusions based
on observations from a single measure. Besides, results from different studies will not be comparable
unless it is clearly stated whether data have been detrended and the methods used for detrending
have been specified.
Funding
Department of Education of Anhui Province, China (No. KJ2016A470), the National Natural Science Foundation
of China (No. 61601263), and the Natural Science Foundation of Shandong Province (No. ZR2015FQ016).
History
Citation
ENTROPY, 2017, 19 (10), pp. ?-? (14)
Author affiliation
/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics