Investigating the efficacy of using hand tremors for early detection of hypoglycemic events: A scoping literature review

Karim Zahed, Farzan Sasangohar, Ranjana Mehta, Madhav Erraguntla, Mark Lawley, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Diabetes is a prevalent condition affecting millions of patients globally. Some diabetic patients suffer from a deadly condition called Hypoglycemia (sudden drop in blood glucose levels). Continuous Glucose Monitors (CGMs) have been the most pervasive tool used to track blood glucose levels but these tools are invasive and costly. While early detection of hypoglycemia has been studied, current approaches do not leverage tremors; which are a primary symptom of hypoglycemia. A scoping review was conducted to understand the relationship between tremors and hypoglycemia, and to document any efforts that utilized tremor signatures non-invasively to detect hypoglycemic events. Findings suggest that hypoglycemic tremors are a medium frequency tremor, more resistant to hypoglycemic impairment than other symptoms, and have not been fully explored yet. This paper also documents the work in progress to utilize a novel wearable device that predicts the onsets of hypoglycemia using hand tremor sensing.

Original languageEnglish (US)
Title of host publication62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PublisherHuman Factors and Ergonomics Society Inc.
Pages1211-1215
Number of pages5
ISBN (Electronic)9781510889538
StatePublished - 2018
Event62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 - Philadelphia, United States
Duration: Oct 1 2018Oct 5 2018

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume2
ISSN (Print)1071-1813

Other

Other62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
CountryUnited States
CityPhiladelphia
Period10/1/1810/5/18

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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