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 › Academic › peer-review

6 Citations (Scopus)

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
Title of host publication	2018 IEEE International RF and Microwave Conference (RFM)
Editors	Idnin Pasya, Aziati Husna Awang, Fauziahanim Che Seman
Publisher	IEEE
Pages	182-184
Number of pages	3
ISBN (Electronic)	9781538667200
DOIs	https://doi.org/10.1109/RFM.2018.8846546
Publication status	Published - 23 Sept 2019
Externally published	Yes
Event	2018 IEEE International RF and Microwave Conference, RFM 2018 - Penang, Malaysia Duration: 17 Dec 2018 → 19 Dec 2018

Conference

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

Keywords

Diabetes
Hand tremor
Hypoglycemia
Internet of Things
Wearable sensor

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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. (2019). A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. In I. Pasya, A. H. Awang, & F. C. Seman (Eds.), 2018 IEEE International RF and Microwave Conference (RFM) (pp. 182-184). Article 8846546 IEEE. https://doi.org/10.1109/RFM.2018.8846546

@inproceedings{d87b66f3fa1744ee9dc75b4857f35fdd,

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 = "2019",

month = sep,

day = "23",

doi = "10.1109/RFM.2018.8846546",

language = "English",

pages = "182--184",

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

booktitle = "2018 IEEE International RF and Microwave Conference (RFM)",

publisher = "IEEE",

address = "United States",

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

}

Abbas, H, Zahed, K, Alic, L, Zhu, Y, Sasangohar, F, Mehta, R, Lawley, M, Abbasi, QH & Qaraqe, KA 2019, A Wearable, Low-cost Hand Tremor Sensor for Detecting Hypoglycemic Events in Diabetic Patients. in I Pasya, AH Awang & FC Seman (eds), 2018 IEEE International RF and Microwave Conference (RFM)., 8846546, IEEE, pp. 182-184, 2018 IEEE International RF and Microwave Conference, RFM 2018, Penang, Malaysia, 17/12/18. 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.
2018 IEEE International RF and Microwave Conference (RFM). ed. / Idnin Pasya; Aziati Husna Awang; Fauziahanim Che Seman. IEEE, 2019. p. 182-184 8846546.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 - 2019/9/23

Y1 - 2019/9/23

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

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U2 - 10.1109/RFM.2018.8846546

DO - 10.1109/RFM.2018.8846546

M3 - Conference contribution

SP - 182

EP - 184

BT - 2018 IEEE International RF and Microwave Conference (RFM)

A2 - Pasya, Idnin

A2 - Awang, Aziati Husna

A2 - Seman, Fauziahanim Che

PB - IEEE

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

Conference

Keywords

UN SDGs

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