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A portable multisensor system to assess cardiorespiratory interactions through photoplethysmography.

, , , , , , and . MeMeA, page 1-6. IEEE, (2022)

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Towards understanding the complexity of cardiovascular oscillations: Insights from information theory., , , , , , and . Comput. Biol. Medicine, (2018)Assessment of Cardiorespiratory Interactions during Apneic Events in Sleep via Fuzzy Kernel Measures of Information Dynamics., , , , and . Entropy, 23 (6): 698 (2021)Investigating cardiac and respiratory determinants of heart rate variability in an information-theoretic framework., , , and . EMBC, page 6020-6023. IEEE, (2014)Mutual information-based feature selection for low-cost BCIs based on motor imagery., , , , and . EMBC, page 2772-2775. IEEE, (2016)Algorithms for the inference of causality in dynamic processes: Application to cardiovascular and cerebrovascular variability., , and . EMBC, page 1789-1792. IEEE, (2015)Penalized Quadratic Inference Function-Based Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data., , and . Comput. Math. Methods Medicine, (2020)Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition., , , , , and . EMBC, page 1-4. IEEE, (2023)Are Nonlinear Model-Free Conditional Entropy Approaches for the Assessment of Cardiac Control Complexity Superior to the Linear Model-Based One?, , , , and . IEEE Trans. Biomed. Eng., 64 (6): 1287-1296 (2017)Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability., , , and . CinC, page 113-116. www.cinc.org, (2013)Multiscale analysis of information dynamics for linear multivariate processes., , , , and . EMBC, page 5489-5492. IEEE, (2016)