Game Design Principles Influencing Stroke Survivor Engagement for VR-Based Upper Limb Rehabilitation

2019 ◽  
Author(s):  
Robert Herne ◽  
Mohd Fairuz Shiratuddin ◽  
Shri Rai ◽  
Hamid Laga ◽  
Jesse Dixon ◽  
...  
Keyword(s):  
Upper Limb ◽  
Game Design ◽  
Stroke Survivor ◽  
Design Principles ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

Serious Games Design Principles Using Virtual Reality to Gamify Upper Limb Stroke Rehabilitation

2022 ◽  
pp. 235-261
Author(s):  
Robert Herne ◽  
Mohd Fairuz Shiratuddin ◽  
Shri Rai ◽  
David Blacker
Keyword(s):  
Virtual Reality ◽  
Upper Limb ◽  
Game Design ◽  
Serious Games ◽  
Stroke Rehabilitation ◽  
Design Principles ◽  
Stroke Survivors ◽  
Upper Limb Rehabilitation ◽  
Post Stroke ◽  
Limb Rehabilitation

Stroke is a debilitating condition that impairs one's ability to live independently while also greatly decreasing one's quality of life. For these reasons, stroke rehabilitation is important. Engagement is a crucial part of rehabilitation, increasing a stroke survivor's recovery rate and the positive outcomes of their rehabilitation. For this reason, virtual reality (VR) has been widely used to gamify stroke rehabilitation to support engagement. Given that VR and the serious games that form its basis may not necessarily be engaging in themselves, ensuring that their design is engaging is important. This chapter discusses 39 principles that may be useful for engaging stroke survivors with VR-based rehabilitation post-stroke. This chapter then discusses a subset of the game design principles that are likely to engage stroke survivors with VR designed for upper limb rehabilitation post-stroke.

scholarly journals Commercial gaming devices for stroke upper limb rehabilitation: The stroke survivor experience

2020 ◽  
Vol 7 ◽  
pp. 205566832091538
Author(s):  
Katie Thomson ◽  
Alex Pollock ◽  
Carol Bugge ◽  
Marian C Brady
Keyword(s):  
Upper Limb ◽  
Positive Impact ◽  
Leisure Activity ◽  
Stroke Survivor ◽  
Stroke Survivors ◽  
Nintendo Wii ◽  
Upper Limb Rehabilitation ◽  
Individual Interviews ◽  
The Uk ◽  
Limb Rehabilitation

Introduction Approximately 30% of stroke survivors experience an upper limb impairment, which impacts on participation and quality of life. Gaming devices (Nintendo Wii) are being incorporated into rehabilitation to improve function. We explored the stroke survivor experience of gaming as an upper limb intervention. Methods Semi-structured, individual interviews with stroke survivors living within the UK were completed. Interviews were audio-recorded, transcribed verbatim and analysed using Framework methods. Transcripts were coded and summarised into thematic charts. Thematic charts were refined during analysis until the final framework emerged. Results We captured experiences of 12 stroke survivors who used Nintendo Wii. Gaming devices were found to be acceptable for all ages but varying levels of enthusiasm existed. Enthusiastic players described gaming as having a positive impact on their motivation to engage in rehabilitation. For some, this became a leisure activity, encouraging self-practice. Non-enthusiastic players preferred sports to gaming. Conclusion An in-depth account of stroke survivor experiences of gaming within upper limb rehabilitation has been captured. Suitability of gaming should be assessed individually and stroke survivor abilities and preference for interventions should be taken into consideration. There was no indication that older stroke survivors or those with no previous experience of gaming were less likely to enjoy the activity.

scholarly journals Pushing the limits of recovery in chronic stroke survivors: a descriptive qualitative study of users perceptions of the Queen Square Upper Limb Neurorehabilitation Programme

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e036481
Author(s):  
Kate Kelly ◽  
Fran Brander ◽  
Amanda Strawson ◽  
Nick Ward ◽  
Kathryn Hayward
Keyword(s):  
Focus Groups ◽  
Upper Limb ◽  
Stroke Survivor ◽  
Stroke Survivors ◽  
Upper Limb Rehabilitation ◽  
Open Questions ◽  
Stroke Group ◽  
The Uk ◽  
Limb Rehabilitation ◽  
Descriptive Qualitative

IntroductionThe Queen Square Upper Limb (QSUL) Neurorehabilitation Programme is a clinical service within the National Health Service in the UK that provides 90-hours of therapy over 3-weeks to stroke survivors with persistent upper limb impairment. This study aimed to explore the perceptions of participants of this programme, including clinicians, stroke survivors and caregivers.DesignDescriptive qualitative. Data analysis was performed using a conventional thematic content approach to identify main themes by four researchers to avoid any potential bias or personal motivations, promoting confirmability.SettingClinical outpatient neurorehabilitation service.ParticipantsClinicians (physiotherapists, occupational therapists, rehabilitation assistants) involved in the delivery of the QSUL Programme, as well as stroke survivors and caregivers who had participated in the programme were purposively sampled. Each focus group followed a series of semi-structured, open questions that were tailored to the clinical or stroke group. One independent researcher facilitated all focus groups, which were audio-recorded and transcribed verbatim by a professional transcription agency.ResultsFour focus groups were completed: three including stroke survivors (n=16) and caregivers (n=2), and one including clinicians (n=11). The main stroke survivor themes related to psychosocial aspects of the programme (‘you feel valued as an individual’), as well as the behavioural training provided (‘gruelling, yet rewarding’). The main clinician themes also included psychosocial aspects of the programme (‘patient driven ethos—no barriers, no rules’) and knowledge, skills and resources of clinicians (‘it is more than intensity, it is complex’).ConclusionsAs an intervention, stroke survivors and clinicians consider the QSUL Programme to be both comprehensive and complex. The nature of the interventions in the programme spans psychosocial and behavioural domains. We suggest the future clinical trials of upper limb rehabilitation consider testing the efficacy of these multiple interacting components.

A Virtual Reality Serious Game Design for Upper Limb Rehabilitation

2021 ◽  
Author(s):  
Kai-Lun Liao ◽  
Mengjie Huang ◽  
Yiqi Wang ◽  
Zhen Wu ◽  
Rui Yang ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Upper Limb ◽  
Game Design ◽  
Serious Game ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

Upper-limb Rehabilitation Robot Based on Motor Imagery EEG

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Baoguo XU ◽  
Si PENG ◽  
Aiguo SONG
Keyword(s):  
Motor Imagery ◽  
Upper Limb ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

Upper-limb Rehabilitation Robot Motion Control Based on Dynamic Interpolation

ROBOT ◽  
2012 ◽  
Vol 34 (5) ◽  
pp. 539 ◽  
Author(s):  
Lizheng PAN ◽  
Aiguo SONG ◽  
Guozheng XU ◽  
Huijun LI ◽  
Baoguo XU
Keyword(s):  
Motion Control ◽  
Upper Limb ◽  
Robot Motion ◽  
Rehabilitation Robot ◽  
Upper Limb Rehabilitation ◽  
Limb Rehabilitation

scholarly journals Artificial Intelligence-Based Wearable Robotic Exoskeletons for Upper Limb Rehabilitation: A Review

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2146
Author(s):  
Manuel Andrés Vélez-Guerrero ◽  
Mauro Callejas-Cuervo ◽  
Stefano Mazzoleni
Keyword(s):  
Artificial Intelligence ◽  
Upper Limb ◽  
Main Trend ◽  
Motor Rehabilitation ◽  
Rehabilitation Process ◽  
Upper Limb Rehabilitation ◽  
Multiple Sensors ◽  
Meta Analyses ◽  
Limb Rehabilitation ◽  
And Control

Processing and control systems based on artificial intelligence (AI) have progressively improved mobile robotic exoskeletons used in upper-limb motor rehabilitation. This systematic review presents the advances and trends of those technologies. A literature search was performed in Scopus, IEEE Xplore, Web of Science, and PubMed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology with three main inclusion criteria: (a) motor or neuromotor rehabilitation for upper limbs, (b) mobile robotic exoskeletons, and (c) AI. The period under investigation spanned from 2016 to 2020, resulting in 30 articles that met the criteria. The literature showed the use of artificial neural networks (40%), adaptive algorithms (20%), and other mixed AI techniques (40%). Additionally, it was found that in only 16% of the articles, developments focused on neuromotor rehabilitation. The main trend in the research is the development of wearable robotic exoskeletons (53%) and the fusion of data collected from multiple sensors that enrich the training of intelligent algorithms. There is a latent need to develop more reliable systems through clinical validation and improvement of technical characteristics, such as weight/dimensions of devices, in order to have positive impacts on the rehabilitation process and improve the interactions among patients, teams of health professionals, and technology.

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