Non-invasive wearable system for Hypoglycemia detection: A proof of concept user-centered design process

Yibo Zhu, Karim Zahed, Ranjana K. Mehta, Farzan Sasangohar, Madhav Erraguntla, Mark Lawley, Hasan Tahir Abbas, Khaled Qaraqe

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

1 Scopus citations

Abstract

About 425 million adults around the world were living with diabetes in 2017. A relevant condition called Hypoglycemia is characterized by a dangerous low level of blood sugar that could be fatal to diabetic patients. Continuous glucose monitoring systems (CGMS) are the most popular commercially available technology for detecting diabetic hypoglycemia. However, CGMSs are invasive, costly, and not user-centric thereby not sustainable for diabetes management. This paper documents our initial efforts in designing an inexpensive, non-invasive, wearable physiological tremor sensory system to detect the onset of hypoglycemic events of diabetic patients. The design cycle briefly presented here includes: 1) determination of system (technology and user) requirements, 2) development of the tremor detection prototype, and 3) testing and validation of the system in non-clinical and clinical settings using human factors, data analytics, and biomedical sciences techniques and approaches.

Original languageEnglish (US)
Title of host publication62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PublisherHuman Factors and Ergonomics Society Inc.
Pages1052-1056
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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