Features of physiological tremor in diabetic patients

Lilia Aljihmani; Hasan Abbas; Yibo Zhu; Ranjana K. Mehta; Farzan Sasangohar; Madhav Erraguntla; Mark Lawley; Qammer H. Abbasi; Khalid Qaraqe

doi:10.1109/ISC246665.2019.9071646

Features of physiological tremor in diabetic patients

Lilia Aljihmani
, Hasan Abbas
, Yibo Zhu
, Ranjana K. Mehta
, Farzan Sasangohar
, Madhav Erraguntla
, Mark Lawley
, Qammer H. Abbasi
, Khalid Qaraqe

Texas A and M University at Qatar Education City
University of Glasgow
Texas A&M University

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

3 Scopus citations

Abstract

In this paper, we estimate the effect of fatigue on physiological tremors in adults suffering from diabetes. We used a simple, wearable accelerometer to collect the acceleration data from 5 diabetic subjects with varying physical activity levels. Fatigue was induced via an intermittent submaximal isometric handgrip protocol, normalized for individual grip strength, until voluntary exhaustion. The overall results presented here show that the physiologic tremors in the range of 10-14 Hz are most noticeable under fatigue.

Original language	English
Title of host publication	5th IEEE International Smart Cities Conference, ISC2 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	268-271
Number of pages	4
ISBN (Electronic)	9781728108469
DOIs	https://doi.org/10.1109/ISC246665.2019.9071646
State	Published - Oct 2019
Externally published	Yes
Event	5th IEEE International Smart Cities Conference, ISC2 2019 - Casablanca, Morocco Duration: 14 Oct 2019 → 17 Oct 2019

Publication series

Name	5th IEEE International Smart Cities Conference, ISC2 2019

Conference

Conference	5th IEEE International Smart Cities Conference, ISC2 2019
Country/Territory	Morocco
City	Casablanca
Period	14/10/19 → 17/10/19

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Physiological tremor
fatigue
wearable non-invasive sensor

Access to Document

10.1109/ISC246665.2019.9071646

Cite this

Aljihmani, L., Abbas, H., Zhu, Y., Mehta, R. K., Sasangohar, F., Erraguntla, M., Lawley, M., Abbasi, Q. H., & Qaraqe, K. (2019). Features of physiological tremor in diabetic patients. In 5th IEEE International Smart Cities Conference, ISC2 2019 (pp. 268-271). Article 9071646 (5th IEEE International Smart Cities Conference, ISC2 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISC246665.2019.9071646

@inproceedings{e87a817796654a8da015b7926107f18d,

title = "Features of physiological tremor in diabetic patients",

abstract = "In this paper, we estimate the effect of fatigue on physiological tremors in adults suffering from diabetes. We used a simple, wearable accelerometer to collect the acceleration data from 5 diabetic subjects with varying physical activity levels. Fatigue was induced via an intermittent submaximal isometric handgrip protocol, normalized for individual grip strength, until voluntary exhaustion. The overall results presented here show that the physiologic tremors in the range of 10-14 Hz are most noticeable under fatigue.",

keywords = "Physiological tremor, fatigue, wearable non-invasive sensor",

author = "Lilia Aljihmani and Hasan Abbas and Yibo Zhu and Mehta, \{Ranjana K.\} and Farzan Sasangohar and Madhav Erraguntla and Mark Lawley and Abbasi, \{Qammer H.\} and Khalid Qaraqe",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 5th IEEE International Smart Cities Conference, ISC2 2019 ; Conference date: 14-10-2019 Through 17-10-2019",

year = "2019",

month = oct,

doi = "10.1109/ISC246665.2019.9071646",

language = "English",

series = "5th IEEE International Smart Cities Conference, ISC2 2019",

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

pages = "268--271",

booktitle = "5th IEEE International Smart Cities Conference, ISC2 2019",

address = "United States",

}

Aljihmani, L, Abbas, H, Zhu, Y, Mehta, RK, Sasangohar, F, Erraguntla, M, Lawley, M, Abbasi, QH & Qaraqe, K 2019, Features of physiological tremor in diabetic patients. in 5th IEEE International Smart Cities Conference, ISC2 2019., 9071646, 5th IEEE International Smart Cities Conference, ISC2 2019, Institute of Electrical and Electronics Engineers Inc., pp. 268-271, 5th IEEE International Smart Cities Conference, ISC2 2019, Casablanca, Morocco, 14/10/19. https://doi.org/10.1109/ISC246665.2019.9071646

Features of physiological tremor in diabetic patients. / Aljihmani, Lilia; Abbas, Hasan; Zhu, Yibo et al.
5th IEEE International Smart Cities Conference, ISC2 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 268-271 9071646 (5th IEEE International Smart Cities Conference, ISC2 2019).

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

TY - GEN

T1 - Features of physiological tremor in diabetic patients

AU - Aljihmani, Lilia

AU - Abbas, Hasan

AU - Zhu, Yibo

AU - Mehta, Ranjana K.

AU - Sasangohar, Farzan

AU - Erraguntla, Madhav

AU - Lawley, Mark

AU - Abbasi, Qammer H.

AU - Qaraqe, Khalid

PY - 2019/10

Y1 - 2019/10

N2 - In this paper, we estimate the effect of fatigue on physiological tremors in adults suffering from diabetes. We used a simple, wearable accelerometer to collect the acceleration data from 5 diabetic subjects with varying physical activity levels. Fatigue was induced via an intermittent submaximal isometric handgrip protocol, normalized for individual grip strength, until voluntary exhaustion. The overall results presented here show that the physiologic tremors in the range of 10-14 Hz are most noticeable under fatigue.

AB - In this paper, we estimate the effect of fatigue on physiological tremors in adults suffering from diabetes. We used a simple, wearable accelerometer to collect the acceleration data from 5 diabetic subjects with varying physical activity levels. Fatigue was induced via an intermittent submaximal isometric handgrip protocol, normalized for individual grip strength, until voluntary exhaustion. The overall results presented here show that the physiologic tremors in the range of 10-14 Hz are most noticeable under fatigue.

KW - Physiological tremor

KW - fatigue

KW - wearable non-invasive sensor

UR - https://www.scopus.com/pages/publications/85084662260

U2 - 10.1109/ISC246665.2019.9071646

DO - 10.1109/ISC246665.2019.9071646

M3 - Conference contribution

AN - SCOPUS:85084662260

T3 - 5th IEEE International Smart Cities Conference, ISC2 2019

SP - 268

EP - 271

BT - 5th IEEE International Smart Cities Conference, ISC2 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Smart Cities Conference, ISC2 2019

Y2 - 14 October 2019 through 17 October 2019

ER -

Features of physiological tremor in diabetic patients

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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