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 contribution

2 Scopus citations

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 (US)
Title of host publicationRFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings
EditorsIdnin Pasya, Aziati Husna Awang, Fauziahanim Che Seman
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages182-184
Number of pages3
ISBN (Electronic)9781538667200
DOIs
StatePublished - Dec 1 2018
Event2018 IEEE International RF and Microwave Conference, RFM 2018 - Penang, Malaysia
Duration: Dec 17 2018Dec 19 2018

Other

Other2018 IEEE International RF and Microwave Conference, RFM 2018
CountryMalaysia
CityPenang
Period12/17/1812/19/18

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

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