Approximate entropy based pulse variability analysis

Authors:
Kuanquan Wang;Lisheng Xu;Zhenguo Li;David Zhang;Naimin Li;Shuying Wang
Affiliations:
Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, China;Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, China;Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, China;Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong,;-;-
Venue:
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Year:
2003

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Abstract

The dynamical analysis of pulse variability gives new insight into researches of cardiovascular system's dynamics. Firstly, long-term pulse variability analysis for the researches on cardiovascular system was proposed. Secondly, approximate entropy was applied to analyze three groups of long-term pulse waveform's variabilities and we found that the pulses' approximate entropies of patients with cardiovascular disease preferred to smaller value and less irregularity. What's more, the pulse variability of the patient with pacemaker newly implanted was also studied. Finally, the pulse variability's clinical value for cardiovascular system was concluded.