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Multivariate ensemble classification for the prediction of symptoms in patients with Brugada syndrome.

, , , , , and . Medical Biol. Eng. Comput., 60 (1): 81-94 (2022)

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Recursive model identification for the analysis of the autonomic response to exercise testing in Brugada syndrome., , , , , , and . Artificial Intelligence in Medicine, (2019)Comparison of Methods to Measure Baroreflex Sensitivity in Brugada Syndrome., , , , , , and . CinC, page 245-248. www.cinc.org, (2015)Sensitivity Analysis and Parameter Identification of a Cardiovascular Model in Aortic Stenosis., , , , , , , , and . CinC, page 1-4. IEEE, (2021)Multiobjective patient-specific estimation of a coronary circulation model for triple vessel disease., , , , , , and . EMBC, page 3877-3880. IEEE, (2013)Acute effect of Vagus nerve stimulation parameters on cardiac chronotropic, inotropic, and dromotropic responses., , , , , , , , , and . SIPAIM, volume 10572 of SPIE Proceedings, page 105721C. SPIE, (2017)Assessment of the Dynamic Response of Cardiac Depolarization During Stress Test Recovery Evaluated in Patients with Brugada Syndrome., , , , and . CinC, www.cinc.org, (2016)Influence of Vagus Nerve Stimulation parameters on chronotropism and inotropism in heart failure., , , , , , , , , and . EMBC, page 526-529. IEEE, (2014)On-off closed-loop control of vagus nerve stimulation for the adaptation of heart rate., , , , , , , and . EMBC, page 6262-6265. IEEE, (2014)Closed-Loop Vagus Nerve Stimulation Based on State Transition Models., , , , , , and . IEEE Trans. Biomed. Engineering, 65 (7): 1630-1638 (2018)Time-frequency Analysis of the Autonomic Response to Head-up Tilt Testing in Brugada Syndrome., , , , , , and . CinC, www.cinc.org, (2017)