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dc.contributor.advisorJoel L. Dawson.en_US
dc.contributor.authorDong, Haobo (Haobo Jack)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-09-27T18:34:00Z
dc.date.available2011-09-27T18:34:00Z
dc.date.copyright2011en_US
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/66026
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 101-102).en_US
dc.description.abstractParkinson's disease (PD) is a chronic and degenerative condition that affects millions of Americans. Current approach of PD evaluation, diagnosis, and treatment is mainly qualitative using the Unified Parkinson's Disease Rating Scale (UPDRS) or the Hoehn and Yahr scale. Assessment of the efficacy of the drugs used is difficult and subjective. A long-term monitoring device that can collect movement data in assisting quantitative analysis proves to be useful and needed. This thesis discusses a discrete prototype of a passive EPC Class 1 Gen 2 UHF RFID sensor tag which is a preliminary step in realizing such a monitoring device. The prototype is capable of collecting 8-bit sensor (temperature, inertial, etc) data and transmits it in real-time through a RFID backscatter link to an UHF reader. It is shown that the device can achieve a read distance up to 3 meters at 5 reads/s and a max data rate of about 640 Kbps.en_US
dc.description.statementofresponsibilityby Haobo (Jack) Dong.en_US
dc.format.extent102 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titlePassive EPC Class 1 Gen 2 UHF RFID sensor tag For health monitoring applicationsen_US
dc.title.alternativePassive electronic product code Class 1 Gen 2 ultra high frequency radio frequency identific.ation sensor tag For health monitoring applicationsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc751990827en_US


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