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Time-Varying Surrogate Data to Assess Nonlinearity in Nonstationary Time Series: Application to Heart Rate Variability.

, , , and . IEEE Trans. Biomed. Eng., 56 (3): 685-695 (2009)

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Propagation pattern analysis during atrial fibrillation based on the adaptive group LASSO., , , and . EMBC, page 5535-5538. IEEE, (2011)Decomposing the transfer entropy to quantify lag-specific Granger causality in cardiovascular variability., and . EMBC, page 5049-5052. IEEE, (2013)Impact of Nonstationarities on Short Heart Rate Variability Recordings During Obstructive Sleep Apnea., , , , , , and . CinC, www.cinc.org, (2017)Multiscale Decomposition of Cardiovascular and Cardiorespiratory Information Transfer under General Anesthesia., , , and . EMBC, page 4607-4610. IEEE, (2018)A method for quantifying atrial fibrillation organization based on wave-morphology similarity., , , , and . IEEE Trans. Biomed. Eng., 49 (12): 1504-1513 (2002)Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks., , , , , , , , and . IEEE Trans. Biomed. Eng., 64 (11): 2628-2638 (2017)Methodological Advances in Brain Connectivity., , , and . Comput. Math. Methods Medicine, (2012)Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress., , , , , , , , , and . Entropy, 21 (5): 526 (2019)Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks., , , and . Entropy, 19 (1): 5 (2017)Causal transfer function analysis to describe closed loop interactions between cardiovascular and cardiorespiratory variability signals., , , , , and . Biol. Cybern., 90 (6): 390-399 (2004)