title: Analysis of extrema of heartbeat time series in exercise test.
abstract: The heartbeat time series of the electrocardiogram recorded during exercise test clearly reflects the physiological control mechanism of the autonomic nervous system on heart rate. This series shows both decreasing and increasing trends and variability of the variance. We analyse the series of intervals between two consecutive extrema, i.e. the durations of accelerations or decelerations of heart rate. We compute the distribution of the length of these intervals and their mean in a model of stationary independent variables, where they are independent of the variables' distribution. We use the mean length as discriminant statistics to compare stress and recovery phases. Data analysis performed over the heartbeat series of 14 healthy subjects shows significant difference between stress and recovery.
authors.affiliation: Department of Mathematics, University of Rome La Sapienza P. le A. Moro 5, 00185 Roma. cammar@mat.uniroma1.it
authors.forename: Camillo
authors.initials: C
authors.lastname: Cammarota
authors.forename: Mario
authors.initials: M
authors.lastname: Curione
mesh_terms: D001341:Autonomic Nervous System / Q000502:physiology*; D004562:Electrocardiography; D005080:Exercise Test; D006321:Heart / Q000502:physiology*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular