title: Analysis of heart rate variability using time-varying frequency bands based on respiratory frequency.
abstract: In this paper a methodological approach for the analysis of nonstationary heart rate variability (HRV) signals using time-varying frequency bands based on respiratory frequency is presented. Spectral analysis of HRV is accomplished by means of the Smoothed Pseudo Wigner Ville distribution. Different approaches to the definition of the low frequency (LF) and high frequency (HF) bands are considered which involve respiratory information, derived either from a respiratory signal or from the ECG itself. Results are presented which derive from recordings acquired during stress testing and induced emotion experiments.
authors.affiliation: Aragón Institute for Engineering Research, University of Zaragoza , María de Luna, 1, 50015 Zaragoza, Spain. rbailon@unizar.es
authors.forename: Raquel
authors.initials: R
authors.lastname: Bailon
authors.forename: Pablo
authors.initials: P
authors.lastname: Laguna
authors.forename: Luca
authors.initials: L
authors.lastname: Mainardi
authors.forename: Leif
authors.initials: L
authors.lastname: Sornmo
mesh_terms: D004562:Electrocardiography; D005080:Exercise Test; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D012119:Respiration; D012815:Signal Processing, Computer-Assisted