Name
Title | ||
|---|---|---|
Point-Process Nonlinear Models With Laguerre and Volterra Expansions: Instantaneous Assessment of Heartbeat Dynamics |
Abstract | ||
|---|---|---|
In the last decades, mathematical modeling and signal processing techniques have played an important role in the study of cardiovascular control physiology and heartbeat nonlinear dynamics. In particular, nonlinear models have been devised for the assessment of the cardiovascular system by accounting for short-memory second-order nonlinearities. In this paper, we introduce a novel inverse Gaussian point process model with Laguerre expansion of the nonlinear Volterra kernels. Within the model, the second-order nonlinearities also account for the long-term information given by the past events of the nonstationary non-Gaussian time series. In addition, the mathematical link to an equivalent cubic input-output Wiener-Volterra model allows for a novel instantaneous estimation of the dynamic spectrum, bispectrum and trispectrum of the considered inter-event intervals. The proposed framework is tested with synthetic simulations and two experimental heartbeat interval datasets. Applications on further heterogeneous datasets such as milling inserts, neural spikes, gait from short walks, and geyser geologic events are also reported. Results show that our model improves on previously developed models and, at the same time, it is able to provide a novel instantaneous characterization and tracking of the inherent nonlinearity of heartbeat dynamics. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSP.2013.2253775 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Gaussian processes,Volterra equations,cardiovascular system,gait analysis,haemodynamics,inverse problems,medical signal processing,neurophysiology,nonlinear dynamical systems,Laguerre expansion,Volterra expansion,Wiener-Volterra model,bispectrum,cardiovascular control physiology,dynamic spectrum,geyser geologic events,heartbeat dynamics,heartbeat nonlinear dynamics,instantaneous assessment,instantaneous estimation,inverse Gaussian point process model,mathematical modeling,milling inserts,neural spikes,nonlinear Volterra kernels,point-process nonlinear models,short walk gait analysis,short-memory second-order nonlinearities,signal processing techniques,trispectrum,Bispectrum,Laguerre expansion,Wiener-Volterra model,heart rate variability (HRV),high order statistics,nonlinear analysis,point process,trispectrum | Signal processing,Heartbeat,Mathematical optimization,Nonlinear system,Trispectrum,Inverse Gaussian distribution,Laguerre polynomials,Bispectrum,Control theory,Point process,Mathematics | Journal |
Volume | Issue | ISSN |
61 | 11 | 1053-587X |
Citations | PageRank | References |
20 | 1.56 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gaetano Valenza | 1 | 314 | 48.21 |
| luca citi | 2 | 168 | 27.88 |
| Enzo Pasquale Scilingo | 3 | 101 | 12.81 |
| Riccardo Barbieri | 4 | 460 | 70.50 |