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dc.contributor.advisorDina Katabi.en_US
dc.contributor.authorKabelac, Zachary(Zachary E.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-07-12T17:41:49Z
dc.date.available2019-07-12T17:41:49Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/121613
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 145-161).en_US
dc.description.abstractRecent years have witnessed a surge of in-home monitoring and sensing systems. They promise to change healthcare as we know it by continuously monitoring patients at home. Yet, despite all of the interest and effort that has gone into designing these systems, their capabilities are rudimentary and long term retention rates remain low. One of the main reasons for this is that they require the user to either wear or interact with the sensor in order to work effectively. This thesis addresses many of the challenges faced by systems today enabling novel applications in both in-home monitoring and healthcare. To overcome these challenges, this thesis introduces a novel hardware / software sensor that uses radio signals to enable patient health monitoring at home. It hangs on the wall like a picture frame and transmits low-power radio signals which reflect off of the user and return back to the device. By capturing and processing the reflected signals, physiological metrics related to mobility and vital signs can be extracted without touching the user in any way. Furthermore, it relates these health signals to symptoms of Parkinson Disease by deploying the sensor in a pilot study and comparing the health metrics to gold standard clinical assessments.en_US
dc.description.statementofresponsibilityby Zachary E. Kabelac.en_US
dc.format.extent161 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.subjectElectrical Engineering and Computer Science.en_US
dc.titleIn-home passive monitoring for medical applicationsen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1102048457en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-07-12T17:41:46Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentEECSen_US


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