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Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography., , , , , , , , and . EMBC, page 910-913. IEEE, (2020)Wearable PWV technologies to measure Blood Pressure: eliminating brachial cuffs., , and . EMBC, page 4098-4101. IEEE, (2013)An autonomous medical monitoring system: Validation on arrhythmia detection., , , , , , , , , and . EMBC, page 4553-4556. IEEE, (2017)Cardiac output measured by electrical impedance tomography: Applications and limitations., , , , , and . BioCAS, page 236-239. IEEE, (2014)Understanding the Genesis of Cardiac Signals in Electrical Impedance Tomography., , , , , , , , , and . BIOSIGNALS, page 27-34. SciTePress, (2014)Non-invasive monitoring of pulmonary artery pressure at the bedside., , , , , , , and . EMBC, page 4236-4239. IEEE, (2016)PPG-Based Blood Pressure Monitoring by Pulse Wave Analysis: Calibration Parameters are Stable for Three Months., , , , and . EMBC, page 5560-5563. IEEE, (2019)Noninvasive and Nonocclusive Blood Pressure Estimation Via a Chest Sensor., , , , , , , , and . IEEE Trans. Biomed. Eng., 60 (12): 3505-3513 (2013)Clinical validation of LTMS-S: A wearable system for vital signs monitoring., , , , , , , , and . EMBC, page 3125-3128. IEEE, (2015)Noninvasive pulmonary artery pressure monitoring by EIT: a model-based feasibility study., , , , and . Medical Biol. Eng. Comput., 55 (6): 949-963 (2017)