gaussian mixture model of heart rate variability心率变异性的高斯混合模型.pdfVIP

Gaussian Mixture Model of Heart Rate Variability 1 2 3 Tommaso Costa *, Giuseppe Boccignone , Mario Ferraro ` ` 1 Dipartimento di Psicologia, Universita di Torino, Torino, Italy, 2 Dipartimento di Scienze dell’Informazione, Universita di Milano, Milano, Italy, 3 Dipartimento di Fisica, ` Universita di Torino, Torino, Italy Abstract Heart rate variability (HRV) is an important measure of sympathetic and parasympathetic functions of the autonomic nervous system and a key indicator of cardiovascular condition. This paper proposes a novel method to investigate HRV, namely by modelling it as a linear combination of Gaussians. Results show that three Gaussians are enough to describe the stationary statistics of heart variability and to provide a straightforward interpretation of the HRV power spectrum. Comparisons have been made also with synthetic data generated from different physiologically based models showing the plausibility of the Gaussian mixture parameters. Citation: Costa T, Boccignone G, Ferraro M (2012) Gaussian Mixture Model of Heart Rate Variability. PLoS ONE 7(5): e37731. doi:10.1371/journal.pone.0037731 ´ ´ ´ Editor: Jeremie Bourdon, Universite de Nantes, France Received January 20, 2012; Accepted April 23, 2012; Published May 30, 2012 Copyright: 2012 Costa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors have no support or funding to