DocumentCode :
3171136
Title :
Application of nonlinear methods to heart rate variability signal analysis
Author :
Miao, Xiaobo ; He, Wei ; Yang, Hao ; Wang, Linghong ; Fang, Liang
Author_Institution :
Coll. of Electr. Eng., Chongqing Univ., China
Volume :
2
fYear :
2002
fDate :
29 June-1 July 2002
Firstpage :
1633
Abstract :
Correlation dimension (D2) with spatial embedding and Poincare plots are employed in the nonlinear analysis of heart rate variability among 8 normal subjects, 9 rheumatoid cardiopathy patients, and 6 coronary artery disease patients. Rheumatoid cardiopathy patients and coronary artery disease patients have lower D2 compared to the normal subjects. This can serve as a discriminative measure. A proper epoch (N) of the spatial embedding method is 20,000 R-R intervals in this study, upon which the D2 value of normal subjects is 5.16. In the analysis of Poincare plots, the normal subjects totally exhibit longer long-axel (L), smaller included angle (α), and relatively regular shape. The bradycardia probability of rheumatoid cardiopathy patients is apparently bigger than the normal´s. The coronary artery disease patients show a relatively bigger value of longer long-axel (L). The results and conclusions have been applied in our Holter Analysis System.
Keywords :
diseases; electrocardiography; medical signal processing; patient diagnosis; D2; ECG analysis; Poincare plots; bradycardia probability; coronary artery disease patients; correlation dimension; heart rate variability signal analysis; included angle; long-axel; nonlinear analysis; nonlinear methods; rheumatoid cardiopathy patients; spatial embedding; Cardiac disease; Cardiology; Coronary arteriosclerosis; Delay effects; Frequency; Heart rate variability; Low-frequency noise; Noise reduction; Shape; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
Type :
conf
DOI :
10.1109/ICCCAS.2002.1179090
Filename :
1179090
Link To Document :
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