DocumentCode :
1652012
Title :
Approximate entropy based pulse variability analysis
Author :
Kuanquan Wang ; Lisheng Xu ; Zhenguo Li ; Zhang, D. ; Naimin Li ; Shuying Wang
Author_Institution :
Dept. of Comput. Sci. & Eng., Harbin Inst. of Technol., China
fYear :
2003
Firstpage :
236
Lastpage :
241
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 variabilities and we found that the pulses´ approximate entropies of patients with cardiovascular disease preferred to smaller value and less irregularity. What 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.
Keywords :
cardiovascular system; diseases; entropy; medical signal processing; approximate entropy based pulse variability analysis; cardiovascular disease; cardiovascular system´s dynamics; dynamical analysis; long-term pulse variability analysis; long-term pulse waveform variabilities; pacemaker; pulse variability; pulses´ approximate entropies; Cardiac disease; Cardiology; Cardiovascular diseases; Cardiovascular system; Computer science; Entropy; Heart rate; Hospitals; Pacemakers; Patient monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium
Conference_Location :
New York, NY, USA
ISSN :
1063-71258
Print_ISBN :
0-7695-1901-6
Type :
conf
DOI :
10.1109/CBMS.2003.1212795
Filename :
1212795
Link To Document :
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