Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring

Safia Naznin; Asma Wassef Qahtan; Gawhara Mohammad Bin Huwail; Huma Zia

doi:10.1109/CIEES58940.2023.10378798

Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring

Safia Naznin
, Asma Wassef Qahtan
, Gawhara Mohammad Bin Huwail
, Huma Zia

Abu Dhabi University

Abu Dhabi University

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

3 Scopus citations

Abstract

A stroke survivor's initial symptoms are restricted mobility, specifically hand mobility. The incorporation of remote interactive rehabilitation gloves with a game-based platform can be introduced to enhance rehabilitation quality and patient experience. The developed system is composed of sensors, machine learning, and a personalized feedback system to enhance diagnosis accuracy and promote motor recovery in individuals with hand injuries, stroke, or neurological conditions. The glove was tested and evaluated using recovery-focused exercises by participants categorized into two groups: healthy individuals and patients. The results illustrate patients' finger dexterity and agility during various stages of the game and generate medical reports to monitor areas of improvement and target subjected areas requiring intervention by medical experts to ensure patients' recovery progress.

Original language	English
Title of host publication	CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350336917
DOIs	https://doi.org/10.1109/CIEES58940.2023.10378798
State	Published - 2023
Event	2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023 - Plovdiv, Bulgaria Duration: 23 Nov 2023 → 25 Nov 2023

Publication series

Name	CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems

Conference

Conference	2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023
Country/Territory	Bulgaria
City	Plovdiv
Period	23/11/23 → 25/11/23

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

SVM algorithm
game
hand exercises
medical report
rehabilitation

Access to Document

10.1109/CIEES58940.2023.10378798

Cite this

Naznin, S., Qahtan, A. W., Huwail, G. M. B., & Zia, H. (2023). Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring. In CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEES58940.2023.10378798

Naznin, Safia ; Qahtan, Asma Wassef ; Huwail, Gawhara Mohammad Bin et al. / Enhancing Stroke Recovery : A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring. CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. Institute of Electrical and Electronics Engineers Inc., 2023. (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems).

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title = "Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring",

abstract = "A stroke survivor's initial symptoms are restricted mobility, specifically hand mobility. The incorporation of remote interactive rehabilitation gloves with a game-based platform can be introduced to enhance rehabilitation quality and patient experience. The developed system is composed of sensors, machine learning, and a personalized feedback system to enhance diagnosis accuracy and promote motor recovery in individuals with hand injuries, stroke, or neurological conditions. The glove was tested and evaluated using recovery-focused exercises by participants categorized into two groups: healthy individuals and patients. The results illustrate patients' finger dexterity and agility during various stages of the game and generate medical reports to monitor areas of improvement and target subjected areas requiring intervention by medical experts to ensure patients' recovery progress.",

keywords = "SVM algorithm, game, hand exercises, medical report, rehabilitation",

author = "Safia Naznin and Qahtan, \{Asma Wassef\} and Huwail, \{Gawhara Mohammad Bin\} and Huma Zia",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023 ; Conference date: 23-11-2023 Through 25-11-2023",

year = "2023",

doi = "10.1109/CIEES58940.2023.10378798",

language = "English",

series = "CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems",

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

booktitle = "CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems",

address = "United States",

}

Naznin, S, Qahtan, AW, Huwail, GMB & Zia, H 2023, Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring. in CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023, Plovdiv, Bulgaria, 23/11/23. https://doi.org/10.1109/CIEES58940.2023.10378798

Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring. / Naznin, Safia; Qahtan, Asma Wassef; Huwail, Gawhara Mohammad Bin et al.
CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. Institute of Electrical and Electronics Engineers Inc., 2023. (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems).

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

TY - GEN

T1 - Enhancing Stroke Recovery

T2 - 2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023

AU - Naznin, Safia

AU - Qahtan, Asma Wassef

AU - Huwail, Gawhara Mohammad Bin

AU - Zia, Huma

PY - 2023

Y1 - 2023

N2 - A stroke survivor's initial symptoms are restricted mobility, specifically hand mobility. The incorporation of remote interactive rehabilitation gloves with a game-based platform can be introduced to enhance rehabilitation quality and patient experience. The developed system is composed of sensors, machine learning, and a personalized feedback system to enhance diagnosis accuracy and promote motor recovery in individuals with hand injuries, stroke, or neurological conditions. The glove was tested and evaluated using recovery-focused exercises by participants categorized into two groups: healthy individuals and patients. The results illustrate patients' finger dexterity and agility during various stages of the game and generate medical reports to monitor areas of improvement and target subjected areas requiring intervention by medical experts to ensure patients' recovery progress.

AB - A stroke survivor's initial symptoms are restricted mobility, specifically hand mobility. The incorporation of remote interactive rehabilitation gloves with a game-based platform can be introduced to enhance rehabilitation quality and patient experience. The developed system is composed of sensors, machine learning, and a personalized feedback system to enhance diagnosis accuracy and promote motor recovery in individuals with hand injuries, stroke, or neurological conditions. The glove was tested and evaluated using recovery-focused exercises by participants categorized into two groups: healthy individuals and patients. The results illustrate patients' finger dexterity and agility during various stages of the game and generate medical reports to monitor areas of improvement and target subjected areas requiring intervention by medical experts to ensure patients' recovery progress.

KW - SVM algorithm

KW - game

KW - hand exercises

KW - medical report

KW - rehabilitation

UR - https://www.scopus.com/pages/publications/85183585411

U2 - 10.1109/CIEES58940.2023.10378798

DO - 10.1109/CIEES58940.2023.10378798

M3 - Conference contribution

AN - SCOPUS:85183585411

T3 - CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems

BT - CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 23 November 2023 through 25 November 2023

ER -

Naznin S, Qahtan AW, Huwail GMB, Zia H. Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring. In CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. Institute of Electrical and Electronics Engineers Inc. 2023. (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems). doi: 10.1109/CIEES58940.2023.10378798

Enhancing Stroke Recovery: A Sensor-Enabled Interactive Rehabilitation Glove for Improved Motor Skills and Progress Monitoring

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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