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A 24/7 monitorization tool for avoiding hypotensive episodes in critical care.

, , and . IDEAS, page 169-178. ACM, (2010)

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Multi-parametric prediction for cardiovascular risk assessment., , , , and . pHealth, volume 224 of Studies in Health Technology and Informatics, page 15-20. IOS Press, (2016)Identification of CVD risk parameters during sleep., , , , , , , , , and . BHI, page 352-355. IEEE, (2016)How Reliable Are Ultra-Short-Term HRV Measurements during Cognitively Demanding Tasks?, , , , , , , , , and . Sensors, 22 (17): 6528 (2022)Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach., , , , , and . AAAI, page 9038-9046. AAAI Press, (2023)Intelligent Phonocardiogram Analysis and Representation Tool., , , , and . HEALTHINF, page 186-192. SciTePress, (2011)Acoustic cardiac signal analysis: A toolbox., , , , , , , , and . exp.at, page 7-12. IEEE, (2015)Assessment of cardiovascular risk based on a data-driven knowledge discovery approach., , , , , , and . EMBC, page 6800-6803. IEEE, (2015)Detection of different types of noise in lung sounds., , , , , , , and . EMBC, page 5977-5980. IEEE, (2016)Detection of motion artifacts in photoplethysmographic signals based on time and period domain analysis., , , , and . EMBC, page 2603-2606. IEEE, (2012)An efficient strategy for evaluating similarity between time series based on Wavelet / Karhunen-Loève transforms., , , and . EMBC, page 6216-6219. IEEE, (2012)