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.
Original language | English |
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Title of host publication | 2018 IEEE International RF and Microwave Conference (RFM) |
Editors | Idnin Pasya, Aziati Husna Awang, Fauziahanim Che Seman |
Publisher | IEEE |
Pages | 182-184 |
Number of pages | 3 |
ISBN (Electronic) | 9781538667200 |
DOIs | |
Publication status | Published - 23 Sept 2019 |
Externally published | Yes |
Event | 2018 IEEE International RF and Microwave Conference, RFM 2018 - Penang, Malaysia Duration: 17 Dec 2018 → 19 Dec 2018 |
Conference
Conference | 2018 IEEE International RF and Microwave Conference, RFM 2018 |
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Abbreviated title | RFM 2018 |
Country/Territory | Malaysia |
City | Penang |
Period | 17/12/18 → 19/12/18 |
Keywords
- Diabetes
- Hand tremor
- Hypoglycemia
- Internet of Things
- Wearable sensor