Entropy change of biological dynamics in COPD

Yu Jin, Chang Chen, Zhixin Cao, Baoqing Sun, Iek Long Lo, Tzu Ming Liu, Jun Zheng, Shixue Sun, Yan Shi, Xiaohua Douglas Zhang

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations


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.

Original languageEnglish
Pages (from-to)2997-3005
Number of pages9
JournalInternational Journal of COPD
StatePublished - Oct 12 2017

Bibliographical note

Publisher Copyright:
© 2017 Jin et al.


  • COPD
  • Entropy
  • Heart rate variability
  • Irregularity
  • Physiological signal
  • Respiratory pattern

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Health Policy
  • Public Health, Environmental and Occupational Health


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