dc.contributor.advisor | Joel L. Dawson. | en_US |
dc.contributor.author | Dong, Haobo (Haobo Jack) | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2011-09-27T18:34:00Z | |
dc.date.available | 2011-09-27T18:34:00Z | |
dc.date.copyright | 2011 | en_US |
dc.date.issued | 2011 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/66026 | |
dc.description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011. | en_US |
dc.description | Cataloged from PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (p. 101-102). | en_US |
dc.description.abstract | Parkinson'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.statementofresponsibility | by Haobo (Jack) Dong. | en_US |
dc.format.extent | 102 p. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | M.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.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Passive EPC Class 1 Gen 2 UHF RFID sensor tag For health monitoring applications | en_US |
dc.title.alternative | Passive electronic product code Class 1 Gen 2 ultra high frequency radio frequency identific.ation sensor tag For health monitoring applications | en_US |
dc.type | Thesis | en_US |
dc.description.degree | S.M. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.oclc | 751990827 | en_US |