Entropy information of heart rate variability and its power spectrum during day and night
1 College of Physics and Information Technology, Shaanxi Normal University - Xi'an 710062, China
2 Image Processing and Image Communications Key Laboratory, School of Geography and Biological Information, Nanjing University of Posts and Telecommunications - Nanjing 210003, China
Received: 10 April 2013
Accepted: 16 July 2013
Physiologic systems generate complex fluctuations in their output signals that reflect the underlying dynamics. We employed the base-scale entropy method and the power spectral analysis to study the 24 hours heart rate variability (HRV) signals. The results show that such profound circadian-, age- and pathologic-dependent changes are accompanied by changes in base-scale entropy and power spectral distribution. Moreover, the base-scale entropy changes reflect the corresponding changes in the autonomic nerve outflow. With the suppression of the vagal tone and dominance of the sympathetic tone in congestive heart failure (CHF) subjects, there is more variability in the date fluctuation mode. So the higher base-scale entropy belongs to CHF subjects. With the decrease of the sympathetic tone and the respiratory frequency (RSA) becoming more pronounced with slower breathing during sleeping, the base-scale entropy drops in CHF subjects. The HRV series of the two healthy groups have the same diurnal/nocturnal trend as the CHF series. The fluctuation dynamics trend of data in the three groups can be described as “HF effect”.
PACS: 87.85.Ng – Biological signal processing / 89.75.-k – Complex systems
© EPLA, 2013