March 21, 2013IEEE Transactions on Signal Processing

Point-Process Nonlinear Models With Laguerre and Volterra Expansions: Instantaneous Assessment of Heartbeat Dynamics

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Population

Synthetic simulations, two experimental heartbeat interval datasets, and heterogeneous datasets

Comparison

Novel inverse Gaussian point process model with… vs Previously developed models

Authors

GVGaetano ValenzaGeneral Cardiology LCLuca CitiPreventive Cardiology ESEnzo Pasquale ScilingoUniversity of Pisa

Discussion

Member takes

Implication

May refine research models of heartbeat nonlinearity; leaves open clinical utility pending validation.

Structured PICO

Population

Synthetic simulations, two experimental heartbeat interval datasets, and heterogeneous datasets (milling inserts, neural spikes, gait from short walks, and geyser geologic events)

Intervention

Novel inverse Gaussian point process model with Laguerre expansion of the nonlinear Volterra kernels

Comparator

Previously developed models

Outcome

Instantaneous characterization and tracking of the inherent nonlinearity of heartbeat dynamics

The novel mathematical model allows for improved instantaneous estimation of dynamic spectrums and tracking of nonlinear heartbeat dynamics.

Cite This Study

Valenza et al. (2013) studied this question.

synapsesocial.com/papers/6a6fc5d226770c2b8de028b5 https://doi.org/10.1109/tsp.2013.2253775

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Point-Process Nonlinear Models With Laguerre and Volterra Expansions: Instantaneous Assessment of Heartbeat Dynamics

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Point-Process Nonlinear Models With Laguerre and Volterra Expansions: Instantaneous Assessment of Heartbeat Dynamics

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider