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Entropy change of biological dynamics in COPD

Authors Jin Y, Chen C, Cao Z, Sun B, Lo IL, Liu T, Zheng J, Sun S, Shi Y, Zhang XD

Received 28 April 2017

Accepted for publication 24 June 2017

Published 12 October 2017 Volume 2017:12 Pages 2997—3005


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Richard Russell

Yu Jin,1,* Chang Chen,1,* Zhixin Cao,2 Baoqing Sun,3 Iek Long Lo,4 Tzu-Ming Liu,1 Jun Zheng,1 Shixue Sun,1 Yan Shi,5 Xiaohua Douglas Zhang1

1Faculty of Health Sciences, University of Macau, Taipa, Macau, 2Beijing Engineering Research Center of Diagnosis and Treatment of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Beijing, 3State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 4Department of Geriatrics, Centro Hospital Conde de Sao Januario, Macau, 5School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

*These authors contributed equally to this work

Abstract: In this century, the rapid development of large data storage technologies, mobile network technology, and portable medical devices makes it possible to measure, record, store, and track analysis of large amount of data in human physiological signals. Entropy is a key metric for quantifying the irregularity contained in physiological signals. In this review, we focus on how entropy changes in various physiological signals in COPD. Our review concludes that the entropy change relies on the types of physiological signals under investigation. For major physiological signals related to respiratory diseases, such as airflow, heart rate variability, and gait variability, the entropy of a patient with COPD is lower than that of a healthy person. However, in case of hormone secretion and respiratory sound, the entropy of a patient is higher than that of a healthy person. For mechanomyogram signal, the entropy increases with the increased severity of COPD. This result should give valuable guidance for the use of entropy for physiological signals measured by wearable medical device as well as for further research on entropy in COPD.

Keywords: entropy, heart rate variability, physiological signal, respiratory pattern, COPD, irregularity

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