2026-09-21T18:01:44Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/660262022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joel L. Dawson.
Dong, Haobo (Haobo Jack)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-09-27T18:34:00Z
2011-09-27T18:34:00Z
2011
2011
http://hdl.handle.net/1721.1/66026
751990827
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 101-102).
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.
by Haobo (Jack) Dong.
S.M.
102 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Passive EPC Class 1 Gen 2 UHF RFID sensor tag For health monitoring applications
Passive electronic product code Class 1 Gen 2 ultra high frequency radio frequency identific.ation sensor tag For health monitoring applications
Thesis
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<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.</Abstract>
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