Beyond long memory in heart rate variability: An approach based on fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity

Author:

Leite Argentina,Paula Rocha Ana,Eduarda Silva Maria

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting Fatigue-Associated Aberrant Driving Behaviors Using a Dynamic Weighted Moving Average Model With a Long Short-Term Memory Network Based on Heart Rate Variability;Human Factors: The Journal of the Human Factors and Ergonomics Society;2023-06-30

2. Characterizing Nonlinear Time Series via Sliding-Window Amplitude-Based Dispersion Entropy;Fluctuation and Noise Letters;2023-03-23

3. Healthy versus congestive heart failure patients—An approach via the Hurst parameter;Communications in Nonlinear Science and Numerical Simulation;2021-12

4. Characterization of upper limb movement-related EEG dynamics through fractional integrated autoregressive modeling;2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2021-11-01

5. Plateau Waves of Intracranial Pressure and Autonomic Stress Analysis;2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO);2020-07

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