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, Khalid Qaraqe

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

1 Citation (Scopus)

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
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
Publication statusPublished - 1 Jan 2018
Event62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 - Philadelphia, United States
Duration: 1 Oct 20185 Oct 2018

Publication series

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

Conference

Conference62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
CountryUnited States
CityPhiladelphia
Period1/10/185/10/18

Fingerprint

Medical problems
Human engineering
Sugars
chronic illness
Glucose
Blood
Monitoring
Testing
monitoring
User centered design
event
science
management

ASJC Scopus subject areas

  • Human Factors and Ergonomics

Cite this

Zhu, Y., Zahed, K., Mehta, R. K., Sasangohar, F., Erraguntla, M., Lawley, M., ... Qaraqe, K. (2018). Non-invasive wearable system for Hypoglycemia detection: A proof of concept user-centered design process. In 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018 (pp. 1052-1056). (Proceedings of the Human Factors and Ergonomics Society; Vol. 2). Human Factors and Ergonomics Society Inc..

Non-invasive wearable system for Hypoglycemia detection : A proof of concept user-centered design process. / Zhu, Yibo; Zahed, Karim; Mehta, Ranjana K.; Sasangohar, Farzan; Erraguntla, Madhav; Lawley, Mark; Abbas, Hasan Tahir; Qaraqe, Khalid.

62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018. Human Factors and Ergonomics Society Inc., 2018. p. 1052-1056 (Proceedings of the Human Factors and Ergonomics Society; Vol. 2).

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

Zhu, Y, Zahed, K, Mehta, RK, Sasangohar, F, Erraguntla, M, Lawley, M, Abbas, HT & Qaraqe, K 2018, Non-invasive wearable system for Hypoglycemia detection: A proof of concept user-centered design process. in 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018. Proceedings of the Human Factors and Ergonomics Society, vol. 2, Human Factors and Ergonomics Society Inc., pp. 1052-1056, 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018, Philadelphia, United States, 1/10/18.
Zhu Y, Zahed K, Mehta RK, Sasangohar F, Erraguntla M, Lawley M et al. Non-invasive wearable system for Hypoglycemia detection: A proof of concept user-centered design process. In 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018. Human Factors and Ergonomics Society Inc. 2018. p. 1052-1056. (Proceedings of the Human Factors and Ergonomics Society).
Zhu, Yibo ; Zahed, Karim ; Mehta, Ranjana K. ; Sasangohar, Farzan ; Erraguntla, Madhav ; Lawley, Mark ; Abbas, Hasan Tahir ; Qaraqe, Khalid. / Non-invasive wearable system for Hypoglycemia detection : A proof of concept user-centered design process. 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018. Human Factors and Ergonomics Society Inc., 2018. pp. 1052-1056 (Proceedings of the Human Factors and Ergonomics Society).
@inproceedings{ea40f5feadf147c3aff3abb7f0e2017a,
title = "Non-invasive wearable system for Hypoglycemia detection: A proof of concept user-centered design process",
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.",
author = "Yibo Zhu and Karim Zahed and Mehta, {Ranjana K.} and Farzan Sasangohar and Madhav Erraguntla and Mark Lawley and Abbas, {Hasan Tahir} and Khalid Qaraqe",
year = "2018",
month = "1",
day = "1",
language = "English",
series = "Proceedings of the Human Factors and Ergonomics Society",
publisher = "Human Factors and Ergonomics Society Inc.",
pages = "1052--1056",
booktitle = "62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018",

}

TY - GEN

T1 - Non-invasive wearable system for Hypoglycemia detection

T2 - A proof of concept user-centered design process

AU - Zhu, Yibo

AU - Zahed, Karim

AU - Mehta, Ranjana K.

AU - Sasangohar, Farzan

AU - Erraguntla, Madhav

AU - Lawley, Mark

AU - Abbas, Hasan Tahir

AU - Qaraqe, Khalid

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85072752687&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85072752687&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85072752687

T3 - Proceedings of the Human Factors and Ergonomics Society

SP - 1052

EP - 1056

BT - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018

PB - Human Factors and Ergonomics Society Inc.

ER -