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Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

, , , , , , , , , , , , and . BioMedical Engineering OnLine, (February 2018)
DOI: 10.1186/s12938-018-0455-y

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Reformulation of the pressure-dependent recruitment model (PRM) of respiratory mechanics., , , , and . Biomed. Signal Proc. and Control, (2014)Analysing the effects of cold, normal, and warm digits on transmittance pulse oximetry., , , , , , and . Biomed. Signal Proc. and Control, (2016)Robust fault reconstruction for a class of non-infinitely observable descriptor systems using two sliding mode observers in cascade., , , , and . Applied Mathematics and Computation, (2019)A Patient-Specific Airway Branching Model for Mechanically Ventilated Patients., , , , , and . Comp. Math. Methods in Medicine, (2014)Use of basis functions within a non-linear autoregressive model of pulmonary mechanics., , , , and . Biomed. Signal Proc. and Control, (2016)Assessing respiratory mechanics using pressure reconstruction method in mechanically ventilated spontaneous breathing patient., , , , , , , and . Computer Methods and Programs in Biomedicine, (2016)Validation of clinical activity tracking system in Intensive Care Unit to assess nurse workload distribution., , , and . EMBC, page 458-461. IEEE, (2015)Stroke Volume estimation using aortic pressure measurements and aortic cross sectional area: Proof of concept., , , , , , , and . EMBC, page 1005-1008. IEEE, (2015)Respiratory mechanics assessment for reverse-triggered breathing cycles using pressure reconstruction., , , , , , , , , and 2 other author(s). Biomed. Signal Proc. and Control, (2016)Estimating the true respiratory mechanics during asynchronous pressure controlled ventilation., , , , , , , , , and 1 other author(s). Biomed. Signal Proc. and Control, (2016)