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

doi:10.1109/RFM.2018.8846546

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 proceeding › Conference contribution

6 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 language	English (US)
Title of host publication	RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings
Editors	Idnin Pasya, Aziati Husna Awang, Fauziahanim Che Seman
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	182-184
Number of pages	3
ISBN (Electronic)	9781538667200
DOIs	https://doi.org/10.1109/RFM.2018.8846546
State	Published - Dec 1 2018
Event	2018 IEEE International RF and Microwave Conference, RFM 2018 - Penang, Malaysia Duration: Dec 17 2018 → Dec 19 2018

Other

Other	2018 IEEE International RF and Microwave Conference, RFM 2018
Country/Territory	Malaysia
City	Penang
Period	12/17/18 → 12/19/18

Keywords

Diabetes
Hand tremor
Hypoglycemia
Internet of Things
Wearable sensor

ASJC Scopus subject areas

Computer Networks and Communications
Instrumentation

Access to Document

10.1109/RFM.2018.8846546

Cite this

Abbas, H., Zahed, K., Alic, L., Zhu, Y., Sasangohar, F., Mehta, R., Lawley, M., Abbasi, Q. H., & Qaraqe, K. A. (2018). A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. In I. Pasya, A. H. Awang, & F. C. Seman (Eds.), RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings (pp. 182-184). Article 8846546 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RFM.2018.8846546

A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. / Abbas, Hasan; Zahed, Karim; Alic, Lejla et al.
RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings. ed. / Idnin Pasya; Aziati Husna Awang; Fauziahanim Che Seman. Institute of Electrical and Electronics Engineers Inc., 2018. p. 182-184 8846546.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abbas, H, Zahed, K, Alic, L, Zhu, Y, Sasangohar, F, Mehta, R, Lawley, M, Abbasi, QH & Qaraqe, KA 2018, A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. in I Pasya, AH Awang & FC Seman (eds), RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings., 8846546, Institute of Electrical and Electronics Engineers Inc., pp. 182-184, 2018 IEEE International RF and Microwave Conference, RFM 2018, Penang, Malaysia, 12/17/18. https://doi.org/10.1109/RFM.2018.8846546

Abbas H, Zahed K, Alic L, Zhu Y, Sasangohar F, Mehta R et al. A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. In Pasya I, Awang AH, Seman FC, editors, RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 182-184. 8846546 doi: 10.1109/RFM.2018.8846546

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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.",

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AB - 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.

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A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients

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Keywords

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