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Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Home

Authors:

Nicholas Newman,

Lauren StewartAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 1781 - 1785

https://doi.org/10.1145/2858036.2858376

Published: 07 May 2016 Publication History

Abstract

Digital approaches to physical rehabilitation are becoming increasingly common and embedding these new technologies within a musical framework may be particularly motivating. The current feasibility study aimed to test if digital musical instruments (DMIs) could aid in the self-management of stroke rehabilitation in the home, focusing on seated forward reach movements of the upper limb. Participants (n=3), all at least 11 months post stroke, participated in 15 researcher-led music making sessions over a 5 week intervention period. The sessions involved them 'drumming' to the beat of self-chosen tunes using bespoke digital drum pads that were synced wirelessly to an iPad App and triggered percussion sounds as feedback. They were encouraged to continue these exercises when the researcher was not present. The results showed significant levels of self-management and significant increases in functional measures with some evidence for transfer into tasks of daily living.

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References

[1]

Alankus, G., Lazar, A., May, M., and Kelleher, C. Towards Customizable Games for Stroke Rehabilitation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM (2010), 2113--2122.

Digital Library

[2]

Amengual, J.L., Rojo, N., Veciana de las Heras, M., et al. Sensorimotor Plasticity after Music-Supported Therapy in Chronic Stroke Patients Revealed by Transcranial Magnetic Stimulation. PLoS ONE 8, 4 (2013), e61883.

[3]

Blood, A.J. and Zatorre, R.J. Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion. Proceedings of the National Academy of Sciences 98, 20 (2001), 11818--11823.

[4]

Bradt, J., Magee, W.L., Dileo, C., Wheeler, B.L., and McGilloway, E. Music therapy for acquired brain injury. In Cochrane Database of Systematic Reviews. John Wiley & Sons, Ltd, 2010.

[5]

Dean, C.M. and Shepherd, R.B. Task-Related Training Improves Performance of Seated Reaching Tasks After Stroke A Randomized Controlled Trial. Stroke 28, 4 (1997), 722--728.

[6]

Ferreira, C., Guimarães, V., Santos, A., and Sousa, I. Gamification of Stroke Rehabilitation Exercises Using a Smartphone. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) (2014), 282--285.

Digital Library

[7]

Grau-Sánchez, J., Amengual, J.L., Rojo, N., et al. Plasticity in the sensorimotor cortex induced by Music-supported therapy in stroke patients: a TMS study. Frontiers in Human Neuroscience 7, (2013), 494.

[8]

Hughes, C.M.L., Tommasino, P., Budhota, A., and Campolo, D. Upper Extremity Proprioception in Healthy Aging and Stroke Populations, and the Effects of Therapist- and Robot-Based Rehabilitation Therapies on Proprioceptive Function. Frontiers in Human Neuroscience 9, (2015).

[9]

Joice, S. Self-management following stroke. Nursing Standard 26, 22 (2012), 39--46.

[10]

Karageorghis, C. and Priest, D.-L. Music in Sport and Exercise: An Update on Research and Application. The Sport Journal 11, 3 (2008).

[11]

1Katan, S., Grierson, M., and Fiebrink, R. Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, ACM (2015), 251--254.

Digital Library

[12]

Kirk, P. Can Specialised Electronic Musical Instruments Aid Stroke Rehabilitation? Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, ACM (2015), 127--132.

Digital Library

[13]

Kleim, J.A., Barbay, S., and Nudo, R.J. Functional reorganization of the rat motor cortex following motor skill learning. Journal of Neurophysiology 80, 6 (1998), 3321--3325.

[14]

Patel, S., Park, H., Bonato, P., Chan, L., Rodgers, M., and others. A review of wearable sensors and systems with application in rehabilitation. J Neuroeng Rehabil 9, 12 (2012), 1--17.

[15]

Plautz, E.J., Milliken, G.W., and Nudo, R.J. Effects of repetitive motor training on movement representations in adult squirrel monkeys: role of use versus learning. Neurobiology of Learning and Memory 74, 1 (2000), 27--55.

[16]

Rodriguez-Fornells, A., Rojo, N., Amengual, J.L., Ripollés, P., Altenmüller, E., and Münte, T.F. The involvement of audio-motor coupling in the music-supported therapy applied to stroke patients. Annals of the New York Academy of Sciences 1252, (2012), 282--293.

[17]

Saka, O., McGuire, A., and Wolfe, C. Cost of stroke in the United Kingdom. Age and Ageing 38, 1 (2008), 27--32.

[18]

Salazar, A.J., Silva, A.S., Silva, C., et al. Low-Cost Wearable Data Acquisition for Stroke Rehabilitation: A Proof-of-Concept Study on Accelerometry for Functional Task Assessment. Topics in Stroke Rehabilitation 21, 1 (2014), 12--22.

[19]

Särkämö, T., Tervaniemi, M., Laitinen, S., et al. Music listening enhances cognitive recovery and mood after middle cerebral artery stroke. Brain 131, 3 (2008), 866--876.

[20]

Schneider, S., Münte, T., Rodriguez-Fornells, A., Sailer, M., and Altenmüller, E. Music-Supported Training is More Efficient than Functional Motor Training for Recovery of Fine Motor Skills in Stroke Patients. Music Perception: An Interdisciplinary Journal 27, 4 (2010), 271--280.

[21]

2Schneider, S., Schönle, P.W., Altenmüller, E., and Münte, T.F. Using musical instruments to improve motor skill recovery following a stroke. Journal of neurology 254, 10 (2007), 1339--1346.

[22]

2Yoo, J. The Role of Therapeutic Instrumental Music Performance in Hemiparetic Arm Rehabilitation. Music Therapy Perspectives 27, 1 (2009), 16--24.

[23]

Stroke | World Heart Federation. 2015. http://www.world-heart-federation.org/cardiovascular-health/stroke/.

Cited By

Lippolis MCarlomagno FFrancesca Campo FBrattico E(2024)The Use of Music and Brain Stimulation in Clinical Settings: Frontiers and Novel Approaches for Rehabilitation in Pathological AgingThe Theory and Practice of Group Therapy10.5772/intechopen.110288Online publication date: 28-Feb-2024
https://doi.org/10.5772/intechopen.110288
Sun JYang JZhou GJin YGong J(2024)Understanding Human-AI Collaboration in Music Therapy Through Co-Design with TherapistsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642764(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642764
Feng YWang ZYao YLi HDiao YPeng YMi H(2024)Co-designing the Collaborative Digital Musical Instruments for Group Music TherapyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642649(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642649
Show More Cited By

Index Terms

Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Home
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 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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New York, NY, United States

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Published: 07 May 2016

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CHI'16

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SIGCHI

CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

California, San Jose, USA

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Lippolis MCarlomagno FFrancesca Campo FBrattico E(2024)The Use of Music and Brain Stimulation in Clinical Settings: Frontiers and Novel Approaches for Rehabilitation in Pathological AgingThe Theory and Practice of Group Therapy10.5772/intechopen.110288Online publication date: 28-Feb-2024
https://doi.org/10.5772/intechopen.110288
Sun JYang JZhou GJin YGong J(2024)Understanding Human-AI Collaboration in Music Therapy Through Co-Design with TherapistsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642764(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642764
Feng YWang ZYao YLi HDiao YPeng YMi H(2024)Co-designing the Collaborative Digital Musical Instruments for Group Music TherapyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642649(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642649
Chen YNorgaard M(2023)Important findings of a technology-assisted in-home music-based intervention for individuals with stroke: a small feasibility studyDisability and Rehabilitation: Assistive Technology10.1080/17483107.2023.227439719:6(2239-2249)Online publication date: Nov-2023
https://doi.org/10.1080/17483107.2023.2274397
Douglass-Kirk PGrierson MWard NBrander FKelly KChegwidden WShivji DStewart L(2022)Real-time auditory feedback may reduce abnormal movements in patients with chronic strokeDisability and Rehabilitation10.1080/09638288.2022.203775145:4(613-619)Online publication date: 3-Mar-2022
https://doi.org/10.1080/09638288.2022.2037751
Agres KSchaefer RVolk Avan Hooren SHolzapfel ADalla Bella SMüller Mde Witte MHerremans DRamirez Melendez RNeerincx MRuiz SMeredith DDimitriadis TMagee W(2021)Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-BeingMusic & Science10.1177/20592043219977094Online publication date: 31-May-2021
https://doi.org/10.1177/2059204321997709
Lewis BVenkatasubramanian KKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“I...Got my Nose-Print. But it Wasn’t Accurate”: How People with Upper Extremity Impairment Authenticate on their Personal Computing DevicesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445070(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445070
Subramanian SDahl YVereijken BSvanæs D(2020)ExerTiles: A Tangible Interactive Physiotherapy Toolkit for Balance Training with Older AdultsProceedings of the 32nd Australian Conference on Human-Computer Interaction10.1145/3441000.3441043(233-244)Online publication date: 2-Dec-2020
https://dl.acm.org/doi/10.1145/3441000.3441043
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
Choi MKim HNah HKang D(2019)Digital Therapeutics: Emerging New Therapy for Neurologic Deficits after StrokeJournal of Stroke10.5853/jos.2019.0196321:3(242-258)Online publication date: 30-Sep-2019
https://doi.org/10.5853/jos.2019.01963
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