TY - GEN
T1 - Non-invasive wearable system for Hypoglycemia detection
T2 - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
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, Khaled
N1 - Funding Information:
This publication was made possible by the NPRP award [NPRP 10-1231-160071] from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authorfs].
Publisher Copyright:
© 2018 Human Factors an Ergonomics Society Inc.. All rights reserved.
PY - 2018
Y1 - 2018
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.
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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.
Y2 - 1 October 2018 through 5 October 2018
ER -