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dc.contributor.advisorEmery N. Brown.en_US
dc.contributor.authorAn, Jingzhi,Ph. D.Massachusetts Institute of Technology.en_US
dc.contributor.otherHarvard--MIT Program in Health Sciences and Technology.en_US
dc.date.accessioned2019-09-16T21:00:04Z
dc.date.available2019-09-16T21:00:04Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122131
dc.descriptionThesis: Ph. D. in Medical Physics and Medical Engineering, Harvard-MIT Program in Health Sciences and Technology, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 259-273).en_US
dc.description.abstractPhysiological closed-loop control (PCLC) is an emerging technology that can revolutionize the standard-of-care by ensuring timely, precise, and consistent delivery of therapy that is also cost-effective, distraction-free, and non-labor intensive. However, the clinical translation of PCLC systems has been impeded by the lack of real-world performance and safety guarantees, which are difficult to provide due to unique engineering and regulatory challenges, such as uncertain, nonlinear physiological systems and complex healthcare settings. We studied the delivery of propofol-induced pharmacological coma in patients with refractory status epilepticus (RSE) as a prototypical application to address this translational challenge for PCLC systems. To motivate the chosen application, we conducted a retrospective clinical study and showed that the clinical management of pharmacological coma in RSE patients may be improved with PCLC.en_US
dc.description.abstractWe then made contributions in five areas to enhance the performance and safety of a PCLC system for delivering propofol-induced pharmacological coma. First, we built the PCLC system with explicit considerations of usability issues and regulatory requirements for preclinical evidence of safety. Second, we built a hardware-in-the-loop platform to evaluate the PCLC system under conditions mimicking real-world operation. Third, we devised new experimental methods to characterize the performance of clinical infusion pumps for PCLC applications, and performed experiments to characterize several commercially-available infusion pumps. Fourth, we systematically analyzed pharmacokinetic-pharmacodynamic models to better understand physiological response to propofol. Finally, we proposed a flexible chance-constrained stochastic optimal control framework for designing controllers with explicit performance and safety guarantees under real-world uncertainties for PCLC systems.en_US
dc.description.abstractOverall, we have taken concrete steps towards clinical translation of a PCLC system for precise control of propofol-induced pharmacological coma, and the methods developed can be applied to other PCLC systems.en_US
dc.description.statementofresponsibilityby Jingzhi An.en_US
dc.format.extent273 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectHarvard--MIT Program in Health Sciences and Technology.en_US
dc.titleTowards the clinical translation of a physiological closed-loop control system for precise control of propofol-induced pharmacological comaen_US
dc.title.alternativeTowards the clinical translation of a PCLC system for precise control of propofol-induced pharmacological comaen_US
dc.typeThesisen_US
dc.description.degreePh. D. in Medical Physics and Medical Engineeringen_US
dc.contributor.departmentHarvard--MIT Program in Health Sciences and Technologyen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.identifier.oclc1119539280en_US
dc.description.collectionPh.D.inMedicalPhysicsandMedicalEngineering Harvard-MIT Program in Health Sciences and Technologyen_US
dspace.imported2019-09-16T20:59:59Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentHSTen_US


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