Time Window Determination for Inference of Time-Varying Dynamics: Application to Cardiorespiratory Interaction
Interacting dynamical systems abound in nature, with examples ranging from biology and population dynamics, through physics and chemistry, to communications and climate. Often their states, parameters and functions are time-varying, because such systems interact with other systems and the environmen...
Main Authors: | Dushko Lukarski, Margarita Ginovska, Hristina Spasevska, Tomislav Stankovski |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-04-01
|
Series: | Frontiers in Physiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2020.00341/full |
Similar Items
-
Neural Cross-Frequency Coupling Functions
by: Tomislav Stankovski, et al.
Published: (2017-06-01) -
Coupling between Blood Pressure and Subarachnoid Space Width Oscillations during Slow Breathing
by: Agnieszka Gruszecka, et al.
Published: (2021-01-01) -
Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons
by: Kento Suzuki, et al.
Published: (2018-01-01) -
Detecting Chronotaxic Systems from Single-Variable Time Series with Separable Amplitude and Phase
by: Gemma Lancaster, et al.
Published: (2015-06-01) -
Quadratic Model-Based Dynamically Updated PID Control of CSTR System with Varying Parameters
by: Dushko Stavrov, et al.
Published: (2021-01-01)