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dc.contributor.advisorRandall Davis and Dana L. Penney.en_US
dc.contributor.authorSethuraman, Karunya(Karunya Anantha)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-01-06T19:33:33Z
dc.date.available2021-01-06T19:33:33Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129225
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 55-56).en_US
dc.description.abstractWe have a developed a proof-of-concept for a testing ecosystem for cognitive disorders. This system assists in detection of cognitive disorders by re-implementing existing neurocognitive tests as applications on devices with stylus-sensitive screens. We believe this will allow digital displays to assist in administering the test in a way that steers the subject away from behaviors that would invalidate the test, such as non-sequential test completion. Using the sensors in the stylus and other devices enables collecting data about the subject's incidental behavior, e.g. how long it took to read and respond to directions. This info may aid in diagnosis. With automated data collection and a secure central server, this proof-of-concept also aims to reduce the administrative workload on clinicians.en_US
dc.description.statementofresponsibilityby Karunya Sethuraman.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.titleA step toward dynamic displays and ecological data collection In cognitive testingen_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.oclc1227508437en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-01-06T19:33:33Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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