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A Peripheral Tactile Feedback System for Lateral Epicondilytus Rehabilitation Exercise

Authors:

Jamie Ferguson,

Stephen BrewsterAuthors Info & Claims

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 263, Pages 1 - 6

https://doi.org/10.1145/3411763.3451630

Published: 08 May 2021 Publication History

Abstract

Lateral epicondilytus (LE), or tennis elbow, is a highly prevalent musculoskeletal condition that affects millions of people. Physiotherapy is a common treatment, with a large portion consisting of prescribed home-based exercises. Adherence to these programs is an important factor in rehabilitation, however there are many barriers to adherence including the exercise taking up too much of the patient’s attention, or the patient feeling like they are not carrying out exercises correctly. To address these problems, this paper describes a prototype system that uses haptic feedback to guide the patient to correctly carry out a commonly prescribed LE rehabilitation exercise, while allowing them to attend to external information such as another person or a screen. The system peripherally conveys information about the speed of movement and position of the user’s wrist movement via peripheral vibration feedback, allowing the user to make adjustments to movement whilst keeping the visual and auditory senses free to attend to other sources. Finally, we discuss future areas of research for this prototype and applications of vibrotactile feedback for physiotherapy in general.

References

[1]

Omid Alizadehkhaiyat, Anthony C Fisher, Graham J Kemp, and Simon P Frostick. 2007. Pain, functional disability, and psychologic status in tennis elbow. The Clinical journal of pain 23, 6 (2007), 482–489.

[2]

Mobolaji Ayoade and Lynne Baillie. 2014. A novel knee rehabilitation system for the home. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems. ACM, 2521–2530.

Digital Library

[3]

S Frances Bassett. 2003. The assessment of patient adherence to physiotherapy rehabilitation. New Zealand journal of physiotherapy 31, 2 (2003), 60–66.

[4]

Leanne Bisset, Elaine Beller, Gwendolen Jull, Peter Brooks, Ross Darnell, and Bill Vicenzino. 2006. Mobilisation with movement and exercise, corticosteroid injection, or wait and see for tennis elbow: randomised trial. Bmj 333, 7575 (2006), 939.

[5]

R Campbell, M Evans, M Tucker, B Quilty, P Dieppe, and JL Donovan. 2001. Why don’t patients do their exercises? Understanding non-compliance with physiotherapy in patients with osteoarthritis of the knee. Journal of Epidemiology & Community Health 55, 2 (2001), 132–138.

[6]

Sebastian Deterding, Miguel Sicart, Lennart Nacke, Kenton O’Hara, and Dan Dixon. 2011. Gamification. using game-design elements in non-gaming contexts. In CHI’11 extended abstracts on human factors in computing systems. 2425–2428.

[7]

Jamie Ferguson, John Williamson, and Stephen Brewster. 2018. Evaluating mapping designs for conveying data through tactons. In Proceedings of the 10th Nordic Conference on Human-Computer Interaction. ACM, 215–223.

Digital Library

[8]

Ernesto Filgueiras and Gustavo Desouzart. 2020. Gamedesign and Physiotherapy: Contribution of Gamification and UX Techniques to Physical Teenagers’ Recovery. In International Conference on Human-Computer Interaction. Springer, 216–228.

Digital Library

[9]

Theodoros Georgiou, Riasat Islam, Simon Holland, Janet Van Der Linden, Blaine Price, Paul Mulholland, and Allan Perry. 2020. Rhythmic Haptic Cueing Using Wearable Devices as Physiotherapy for Huntington Disease: Case Study. JMIR Rehabilitation and Assistive Technologies 7, 2(2020), e18589.

[10]

Darren C.R. Goh, Alfred C.H. Tan, and Jeannie S.A. Lee. 2017. Gamification of Heel Raise Plantarflexion Physiotherapy. In Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care(Mountain View, California, USA) (MMHealth ’17). Association for Computing Machinery, New York, NY, USA, 35–43. https://doi.org/10.1145/3132635.3132638

Digital Library

[11]

Chelsea Hopkins, Sai-Chuen Fu, Eldrich Chua, Xiaorui Hu, Christer Rolf, Ville M Mattila, Ling Qin, Patrick Shu-Hang Yung, and Kai-Ming Chan. 2016. Critical review on the socio-economic impact of tendinopathy. Asia-Pacific Journal of Sports Medicine, Arthroscopy, Rehabilitation and Technology 4(2016), 9–20.

[12]

Kirsten Jack, Sionnadh Mairi McLean, Jennifer Klaber Moffett, and Eric Gardiner. 2010. Barriers to treatment adherence in physiotherapy outpatient clinics: a systematic review. Manual therapy 15, 3 (2010), 220–228.

[13]

Ard Jacobs, Annick Timmermans, Marc Michielsen, Maaiken Vander Plaetse, and Panos Markopoulos. 2013. CONTRAST: gamification of arm-hand training for stroke survivors. In CHI’13 Extended Abstracts on Human Factors in Computing Systems. 415–420.

[14]

Val Jones. 2009. Physiotherapy in the management of tennis elbow: a review. Shoulder & Elbow 1, 2 (2009), 108–113.

[15]

Jussi Kasurinen and Antti Knutas. 2018. Publication trends in gamification: A systematic mapping study. Computer Science Review 27 (2018), 33–44.

[16]

Robert W Lindeman, Yasuyuki Yanagida, Kenichi Hosaka, and Shinji Abe. 2006. The TactaPack: A wireless sensor/actuator package for physical therapy applications. In Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2006 14th Symposium on. IEEE, 337–341.

[17]

Nathanael Macdonald, Caterina Clements, Anshul Sobti, Daniel Rossiter, Ashwin Unnithan, and Nicholas Bosanquet. 2020. Tackling the elective case backlog generated by Covid-19: the scale of the problem and solutions. Journal of Public Health 42, 4 (2020), 712–716.

[18]

Shaun Alexander Macdonald and Stephen Brewster. 2019. Gamification of a To-Do List with Emotional Reinforcement. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 1–6.

Digital Library

[19]

Rui Neves Madeira, Luís Costa, and Octavian Postolache. 2014. PhysioMate-Pervasive physical rehabilitation based on NUI and gamification. In 2014 International Conference and Exposition on Electrical and Power Engineering (EPE). IEEE, 612–616.

[20]

M Nelson, M Bourke, K Crossley, and T Russell. 2020. Telerehabilitation is non-inferior to usual care following total hip replacement—a randomized controlled non-inferiority trial. Physiotherapy 107(2020), 19–27.

[21]

Adria Quigley, Helen Johnson, and Caitlin McArthur. 2020. Transforming the Provision of Physiotherapy in the Time of COVID-19: A Call to Action for Telerehabilitation.

[22]

Daniel S Scholz, Sönke Rhode, Michael Großbach, Jens Rollnik, and Eckart Altenmüller. 2015. Moving with music for stroke rehabilitation: a sonification feasibility study. Annals of the New York Academy of Sciences 1337, 1 (2015), 69–76.

[23]

Aneesha Singh, Nadia Bianchi-Berthouze, and Amanda CdeC Williams. 2017. Supporting everyday function in chronic pain using wearable technology. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 3903–3915.

Digital Library

[24]

Jessica Stanhope and Philip Weinstein. 2020. Learning from COVID-19 to improve access to physiotherapy. Australian Journal of Primary Health 26, 4 (2020), 271–272.

[25]

Richard Tang, Xing-Dong Yang, Scott Bateman, Joaquim Jorge, and Anthony Tang. 2015. Physio@ Home: Exploring visual guidance and feedback techniques for physiotherapy exercises. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 4123–4132.

Digital Library

[26]

Rick Tosti, John Jennings, and J Milo Sewards. 2013. Lateral epicondylitis of the elbow. The American journal of medicine 126, 4 (2013), 357–e1.

[27]

Andrea Turolla, Giacomo Rossettini, Antonello Viceconti, Alvisa Palese, and Tommaso Geri. 2020. Musculoskeletal physical therapy during the COVID-19 pandemic: is telerehabilitation the answer?Physical therapy 100, 8 (2020), 1260–1264.

[28]

Maarten A van Egmond, Raoul HH Engelbert, Jean HG Klinkenbijl, Mark I van Berge Henegouwen, and Marike van der Schaaf. 2020. Physiotherapy With Telerehabilitation in Patients With Complicated Postoperative Recovery After Esophageal Cancer Surgery: Feasibility Study. Journal of Medical Internet Research 22, 6 (2020), e16056.

[29]

B Vicenzino. 2003. Lateral epicondylalgia: a musculoskeletal physiotherapy perspective. Manual therapy 8, 2 (2003), 66–79.

[30]

Conrad Wall III. 2010. Application of vibrotactile feedback of body motion to improve rehabilitation in individuals with imbalance. Journal of neurologic physical therapy: JNPT 34, 2 (2010), 98.

[31]

Shen Ye. 2015. The science behind Force Touch and the Taptic Engine. https://www.imore.com/science-behind-taptics-and-force-touch

Cited By

Xia CMin TSugiura Y(2024)AudioMove: Applying the Spatial Audio to Multi-Directional Limb Exercise GuidanceProceedings of the ACM on Human-Computer Interaction10.1145/36764898:MHCI(1-26)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676489
Ruston OSharma AFraser M(2024)SeamSleeve: Robust Arm Movement Sensing through Powered StitchingProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660726(1134-1147)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660726

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Published In

cover image ACM Conferences

CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

2965 pages

ISBN:9781450380959

DOI:10.1145/3411763

Editors:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2021

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CHI '21

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SIGCHI

CHI '21: CHI Conference on Human Factors in Computing Systems

May 8 - 13, 2021

Yokohama, Japan

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Xia CMin TSugiura Y(2024)AudioMove: Applying the Spatial Audio to Multi-Directional Limb Exercise GuidanceProceedings of the ACM on Human-Computer Interaction10.1145/36764898:MHCI(1-26)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676489
Ruston OSharma AFraser M(2024)SeamSleeve: Robust Arm Movement Sensing through Powered StitchingProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660726(1134-1147)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660726

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