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 |
|---|---|
| Title of host publication | RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings |
| Editors | Idnin Pasya, Aziati Husna Awang, Fauziahanim Che Seman |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 182-184 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781538667200 |
| DOIs | |
| State | Published - Dec 2018 |
| Externally published | Yes |
| Event | 2018 IEEE International RF and Microwave Conference, RFM 2018 - Penang, Malaysia Duration: 17 Dec 2018 → 19 Dec 2018 |
Publication series
| Name | RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings |
|---|
Conference
| Conference | 2018 IEEE International RF and Microwave Conference, RFM 2018 |
|---|---|
| Country/Territory | Malaysia |
| City | Penang |
| Period | 17/12/18 → 19/12/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Diabetes
- Hand tremor
- Hypoglycemia
- Internet of Things
- Wearable sensor
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