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dc.contributor.advisorLalana Kagal.en_US
dc.contributor.authorPaulos, Jason(Jason G.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-09-15T21:58:57Z
dc.date.available2020-09-15T21:58:57Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127459
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 53-56).en_US
dc.description.abstractElectronic healthcare records are the new standard for storing healthcare data due to their ability to be easily and quickly accessed. Additionally, a new class of fitness records have been created in recent years due to the rise of wearable devices by companies like Fitbit, Apple, and Google. Yet these fitness records are all stored in different formats and can be difficult to extract from the proprietary systems in which they are stored. There are great potential benefits for individuals, healthcare professionals, and researchers to combine this new source of fitness data with traditional patient records in a secure way. The Solid project offers a solution to this problem by allowing individuals to store and manage their health data through the use of personal data stores. The main contributions of this thesis are extending Solid libraries to support the development of mobile Solid applications, developing the functionality to integrate sensor data from phones and wearables into Solid and model it using the FHIR RDF specification, and creating Solid Health, a proof-of-concept decentralized mobile health application.en_US
dc.description.statementofresponsibilityby Jason Paulos.en_US
dc.format.extent56 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleInvestigating decentralized management of health and fitness dataen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1192966772en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-09-15T21:58:56Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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