標題: Entropy of Entropy: Measurement of Dynamical Complexity for Biological Systems
作者: Hsu, Chang Francis
Wei, Sung-Yang
Huang, Han-Ping
Hsu, Long
Chi, Sien
Peng, Chung-Kang
電子物理學系
光電工程學系
Department of Electrophysics
Department of Photonics
關鍵字: heart rate variability;biological complexity;Shannon entropy;inverted U curve
公開日期: 1-十月-2017
摘要: Healthy systems exhibit complex dynamics on the changing of information embedded in physiologic signals on multiple time scales that can be quantified by employing multiscale entropy (MSE) analysis. Here, we propose a measure of complexity, called entropy of entropy (EoE) analysis. The analysis combines the features of MSE and an alternate measure of information, called superinformation, useful for DNA sequences. In this work, we apply the hybrid analysis to the cardiac interbeat interval time series. We find that the EoE value is significantly higher for the healthy than the pathologic groups. Particularly, short time series of 70 heart beats is sufficient for EoE analysis with an accuracy of 81% and longer series of 500 beats results in an accuracy of 90%. In addition, the EoE versus Shannon entropy plot of heart rate time series exhibits an inverted U relationship with the maximal EoE value appearing in the middle of extreme order and disorder.
URI: http://dx.doi.org/10.3390/e19100550
http://hdl.handle.net/11536/144055
ISSN: 1099-4300
DOI: 10.3390/e19100550
期刊: ENTROPY
Volume: 19
顯示於類別:期刊論文