abstract

A Technology for Computer-Assisted Stroke Rehabilitation

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Min Hun LeeAuthors Info & Claims

IUI '18: Proceedings of the 23rd International Conference on Intelligent User Interfaces

Pages 665 - 666

https://doi.org/10.1145/3172944.3173146

Published: 05 March 2018 Publication History

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Abstract

Improving functional ability after a stroke requires task-oriented physical rehabilitation with the supervision of a therapist. However, with increasing medical costs and a shortage of rehabilitation specialists, post-stroke survivors sometimes receive a limited amount of individual treatment.\\ This paper proposes a low-cost computer-assisted rehabilitation system, called Virtual Coach that evaluates and guides a post-stroke survivor to engage in rehabilitation correctly at home with minimal supervision of a therapist. This system includes two major components: 1) motion analysis modules that evaluate exercise performance and guide a desirable joint trajectory and 2) a dialogue interface to provide feedback. The evaluation function of motion analysis modules computed exercise performance scores of 15 post-stroke survivors and achieved a 78% agreement with a practicing clinician. After developing a guidance function, the usability of the system will be evaluated with post-stroke survivors and therapists and iteratively improved.

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Cited By

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Stubbs KAllen BDixon W(2024)Telerehabilitation Through a Remotely Operated Motorized Functional Electric Stimulation Actuated CycleIEEE Transactions on Control Systems Technology10.1109/TCST.2023.333881532:3(744-754)Online publication date: May-2024
https://doi.org/10.1109/TCST.2023.3338815
Stubbs KIsaly ADixon W(2022)Control Barrier Functions for Safe Teleoperation of a Functional Electric Stimulation Enabled Rehabilitation System2022 American Control Conference (ACC)10.23919/ACC53348.2022.9867427(4347-4352)Online publication date: 8-Jun-2022
https://doi.org/10.23919/ACC53348.2022.9867427
Mohamed AAwad MMaged SGaber M(2021)Automated Upper Limb Motor Functions Assessment System Using One-Class Support Vector Machine2021 16th International Conference on Computer Engineering and Systems (ICCES)10.1109/ICCES54031.2021.9686161(1-6)Online publication date: 15-Dec-2021
https://doi.org/10.1109/ICCES54031.2021.9686161
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A Technology for Computer-Assisted Stroke Rehabilitation

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Information

Published In

IUI '18: Proceedings of the 23rd International Conference on Intelligent User Interfaces

March 2018

698 pages

ISBN:9781450349451

DOI:10.1145/3172944

General Chairs:
Shlomo Berkovsky
CSIRO, Australia
,
Yoshinori Hijikata
Kwansei Gakuin University, Japan
,
Jun Rekimoto
University of Tokyo, Japan
,
Program Chairs:
Margaret Burnett
Oregon State University, USA
,
Mark Billinghurst
University of South Australia, Australia
,
Aaron Quigley
University of St Andrews, UK

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 March 2018

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Funding Sources

FCT through the Augmented Human Assistance project

Conference

IUI'18

Sponsor:

SIGAI

IUI'18: 23rd International Conference on Intelligent User Interfaces

March 7 - 11, 2018

Tokyo, Japan

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IUI '25

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sigai
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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Cited By

View all

Stubbs KAllen BDixon W(2024)Telerehabilitation Through a Remotely Operated Motorized Functional Electric Stimulation Actuated CycleIEEE Transactions on Control Systems Technology10.1109/TCST.2023.333881532:3(744-754)Online publication date: May-2024
https://doi.org/10.1109/TCST.2023.3338815
Stubbs KIsaly ADixon W(2022)Control Barrier Functions for Safe Teleoperation of a Functional Electric Stimulation Enabled Rehabilitation System2022 American Control Conference (ACC)10.23919/ACC53348.2022.9867427(4347-4352)Online publication date: 8-Jun-2022
https://doi.org/10.23919/ACC53348.2022.9867427
Mohamed AAwad MMaged SGaber M(2021)Automated Upper Limb Motor Functions Assessment System Using One-Class Support Vector Machine2021 16th International Conference on Computer Engineering and Systems (ICCES)10.1109/ICCES54031.2021.9686161(1-6)Online publication date: 15-Dec-2021
https://doi.org/10.1109/ICCES54031.2021.9686161
Gámez Díaz RYu QDing YLaamarti FEl Saddik A(2020)Digital Twin Coaching for Physical Activities: A SurveySensors10.3390/s2020593620:20(5936)Online publication date: 21-Oct-2020
https://doi.org/10.3390/s20205936
Lee MSiewiorek DSmailagic ABernardino ABermúdez i Badia SGhassemi M(2020)Interactive hybrid approach to combine machine and human intelligence for personalized rehabilitation assessmentProceedings of the ACM Conference on Health, Inference, and Learning10.1145/3368555.3384452(160-169)Online publication date: 2-Apr-2020
https://dl.acm.org/doi/10.1145/3368555.3384452
Zou FChang DSong F(2020)An APP Design for Stroke RehabilitationAdvances in Human Factors and Ergonomics in Healthcare and Medical Devices10.1007/978-3-030-50838-8_40(289-296)Online publication date: 1-Jul-2020
https://doi.org/10.1007/978-3-030-50838-8_40
Lee MBigham JAzenkot SKane S(2019)An Intelligent Decision Support System for Stroke Rehabilitation AssessmentProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3356106(694-696)Online publication date: 24-Oct-2019
https://dl.acm.org/doi/10.1145/3308561.3356106

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