DocumentCode :
1545062
Title :
New statistical method for detection and quantification of respiratory sinus arrhythmia
Author :
Dinh, Tuan Pham ; Perrault, Helene ; Calabrese, Pascale ; Eberhard, André ; Benchetrit, Gila
Author_Institution :
Lab. de Modelisation et Calcul, Univ. Joseph Fourier, Grenoble, France
Volume :
46
Issue :
9
fYear :
1999
Firstpage :
1161
Lastpage :
1165
Abstract :
A statistical method with the advantages of (1) enabling graphical representation of within-respiratory cycle heart rate variations, (2) detecting the presence of respiratory sinus arrhythmia (RSA) in a moving window, and (3) providing breath-by-breath RSA amplitude and phase obtained from the fitting of a sinusoid to the instantaneous relative heart rate is presented.
Keywords :
electrocardiography; medical signal processing; pneumodynamics; spectral analysis; statistical analysis; ECG; arrhythmia detection; arrhythmia quantification; breath-by-breath RSA; graphical representation; instantaneous relative heart rate; moving window; respiratory sinus arrhythmia; sinusoid fitting; spectral analysis; statistical method; within-respiratory cycle heart rate variations; Drugs; Hafnium; Heart rate; Heart rate detection; Heart rate variability; Phase detection; Resonant frequency; Spectral analysis; Statistical analysis; Wavelet analysis; Adolescent; Adult; Arrhythmia, Sinus; Data Display; Electrocardiography; Heart Rate; Humans; Models, Cardiovascular; Models, Statistical; Reference Values; Respiration; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.784148
Filename :
784148
Link To Document :
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