New statistical method for detection and quantification of respiratory sinus arrhythmia.
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.
Dinh
T P
TP
Laboratoire de Modélisation et Calcul, Université Joseph Fourier, Grenoble, France.
Perrault
H
H
Calabrese
P
P
Eberhard
A
A
Benchetrit
G
G
D000293:Adolescent; D000328:Adult; D001146:Arrhythmia, Sinus / Q000175:diagnosis*; D003626:Data Display; D004562:Electrocardiography; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D015233:Models, Statistical; D012016:Reference Values; D012119:Respiration; D012815:Signal Processing, Computer-Assisted