Name
Title | ||
|---|---|---|
Using Laguerre Expansion Within Point-Process Models Of Heartbeat Dynamics: A Comparative Study |
Abstract | ||
|---|---|---|
Point-process models have been recognized as a distinguished tool for the instantaneous assessment of heartbeat dynamics. Although not thoroughly linked to the physiology, nonlinear models also yield a more accurate quantification of cardiovascular control dynamics. Here, we propose a Laguerre expansion of the linear and nonlinear Wiener-Volterra kernels in order to account for the nonlinear and non-gaussian information contained in the ECG-derived heartbeat series while using a reduced number of parameters. Within an Inverse-Gaussian probability model, up to quadratic nonlinearities were considered to continuously estimate the dynamic spectrum and bispectrum. Results performed on 10 subjects undergoing a stand-up protocol show that this novel methodology improves on the algorithmic performances and, at the same time, more accurately characterizes sympatho-vagal changes to posture. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6345863 | 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
series mathematics,probability,statistical analysis | Applied mathematics,Probability model,Nonlinear system,Series (mathematics),Laguerre polynomials,Computer science,Control theory,Point process,Artificial intelligence,Computer vision,Heartbeat,Bispectrum,Quadratic equation | Conference |
Volume | ISSN | Citations |
2012 | 1557-170X | 5 |
PageRank | References | Authors |
0.80 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G Valenza | 1 | 30 | 4.60 |
| luca citi | 2 | 168 | 27.88 |
| Enzo Pasquale Scilingo | 3 | 40 | 6.65 |
| Riccardo Barbieri | 4 | 59 | 13.95 |