title: Empirical mode decomposition to assess baroreflex gain from spontaneous variability during exercise in humans.
abstract: Estimation of the baroreflex gain has become an important tool in clinical practice in order to assess cardiac autonomic system control. Spectral analysis and sequence analysis techniques based on the spontaneous variability of systolic arterial pressure and heart period have been proposed to evaluate the baroreflex gain. These analyses can be significantly altered by the presence of nonstationarities. Recently, the empirical mode decomposition (EMD), a signal processing technique particularly suitable for nonstationary series, has been proposed as a new tool for data analysis. The aim of this study is to propose EMD-based approaches to the evaluation of the baroreflex gain to account for the possible presence of nonstationarities of systolic arterial pressure and heart period series.
authors: Orthopaedic Institute IRCCS Galeazzi, Milano, Italy. valentina.magagnin@tin.it
authors: V
authors: V
authors: Magagnin
authors: T
authors: T
authors: Bassani
authors: D
authors: D
authors: Lucini
authors: M
authors: M
authors: Pagani
authors: E G
authors: EG
authors: Caiani
authors: S
authors: S
authors: Cerutti
authors: A
authors: A
authors: Porta
mesh_terms: D017704:Baroreflex / Q000502:physiology*; D001642:Bicycling / Q000502:physiology*; D001698:Biomedical Engineering / Q000379:methods; D015444:Exercise / Q000502:physiology*; D005080:Exercise Test; D006321:Heart / Q000502:physiology; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008955:Models, Cardiovascular; D015233:Models, Statistical; D012119:Respiration; D015656:Respiratory Mechanics / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D013599:Systole