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

7 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

@inproceedings{0767c8b3c09e4396a960dee0c7d103e5,

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

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.",

keywords = "Diabetes, Hand tremor, Hypoglycemia, Internet of Things, Wearable sensor",

author = "Hasan Abbas and Karim Zahed and Lejla Alic and Yibo Zhu and Farzan Sasangohar and Ranjana Mehta and Mark Lawley and Abbasi, \{Qammer H.\} and Qaraqe, \{Khalid A.\}",

year = "2018",

month = dec,

day = "1",

doi = "10.1109/RFM.2018.8846546",

language = "English (US)",

pages = "182--184",

editor = "Idnin Pasya and Awang, \{Aziati Husna\} and Seman, \{Fauziahanim Che\}",

booktitle = "RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2018 IEEE International RF and Microwave Conference, RFM 2018 ; Conference date: 17-12-2018 Through 19-12-2018",

}

TY - GEN

T1 - A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients

AU - Abbas, Hasan

AU - Zahed, Karim

AU - Alic, Lejla

AU - Zhu, Yibo

AU - Sasangohar, Farzan

AU - Mehta, Ranjana

AU - Lawley, Mark

AU - Abbasi, Qammer H.

AU - Qaraqe, Khalid A.

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

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.

KW - Diabetes

KW - Hand tremor

KW - Hypoglycemia

KW - Internet of Things

KW - Wearable sensor

UR - https://www.scopus.com/pages/publications/85073197082

UR - https://www.scopus.com/inward/citedby.url?scp=85073197082&partnerID=8YFLogxK

U2 - 10.1109/RFM.2018.8846546

DO - 10.1109/RFM.2018.8846546

M3 - Conference contribution

SP - 182

EP - 184

BT - RFM 2018 - 2018 IEEE International RF and Microwave Conference, Proceedings

A2 - Pasya, Idnin

A2 - Awang, Aziati Husna

A2 - Seman, Fauziahanim Che

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International RF and Microwave Conference, RFM 2018

Y2 - 17 December 2018 through 19 December 2018

ER -

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

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this