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