A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients

Hasan Abbas, Karim Zahed, Lejla Alic, Yibo Zhu, Farzan Sasangohar, Ranjana Mehta, Mark Lawley, Qammer H. Abbasi, Khalid A. Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

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 languageEnglish
Title of host publication2018 IEEE International RF and Microwave Conference (RFM)
EditorsIdnin Pasya, Aziati Husna Awang, Fauziahanim Che Seman
PublisherIEEE
Pages182-184
Number of pages3
ISBN (Electronic)9781538667200
DOIs
Publication statusPublished - 23 Sept 2019
Externally publishedYes
Event2018 IEEE International RF and Microwave Conference, RFM 2018 - Penang, Malaysia
Duration: 17 Dec 201819 Dec 2018

Conference

Conference2018 IEEE International RF and Microwave Conference, RFM 2018
Abbreviated titleRFM 2018
Country/TerritoryMalaysia
CityPenang
Period17/12/1819/12/18

Keywords

  • Diabetes
  • Hand tremor
  • Hypoglycemia
  • Internet of Things
  • Wearable sensor

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