Abbas, H., Zahed, K., Alic, L., Zhu, Y. , Sasangohar, F. , Mehta, R., Lawley, M., Abbasi, Q. H. and Qaraqe, K. A. (2019) A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. In: IEEE International RF and Microwave Conference (RFM 2018), Penang, Malaysia, 17-19 Dec 2018, pp. 182-184. ISBN 9781538667200 (doi: 10.1109/RFM.2018.8846546)
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Abstract
Severe hypoglycemia leverages complication in diabetes patients: e.g., it increases death rate by a six-fold. Therefore, early detection and prediction of hypoglycemic events are of utmost importance. This publication presents a prototype of a wearable hand-tremor system that detects the onset of hypoglycemic events. The results show the prototype is capable of simulating anticipated frequency and amplitude of the tremor relevant for hypoglycemic events. The initial functional performance-tests demonstrate a maximum error of 4.75% in the detecting the tremor frequency.
Item Type: | Conference Proceedings |
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Additional Information: | This publication was made possible by NPRP grant number NPRP 10-1231-160071 from the Qatar National Research Fund (a member of Qatar Foundation). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Abbasi, Professor Qammer |
Authors: | Abbas, H., Zahed, K., Alic, L., Zhu, Y., Sasangohar, F., Mehta, R., Lawley, M., Abbasi, Q. H., and Qaraqe, K. A. |
College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
ISBN: | 9781538667200 |
Copyright Holders: | Copyright © 2018 IEEE |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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