Virtual reality and serious games for rehabilitation

Abellard, Patrick; Abellard, Alexandre

doi:10.1109/icvr.2015.7358602

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Only 41 articles met the criteria explained earlier. Conversely, 80 articles did not meet the criteria because they (i) focus on rehabilitation on body parts different to upper limbs or focus on other types of rehabilitation [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44] ; (ii) have purposes different to rehabilitation [45][46][47][48][49][50][51] (e.g., measurement of personal performance and development of musical skills); (iii) are editorial notes, reviews, and guidelines to develop serious games 1, ; (iv) are incomplete articles 74 ; (v) are up to three pages in length [75][76][77][78] ; (vi) are not written in English [79][80][81] ; and (vii) are out of the scope of this review. 82 This review includes articles with QualSyst percentages q70%.…”

Section: Resultsmentioning

confidence: 99%

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

Aguilar-Lazcano

Rechy-Ramirez

et al. 2019

Games for Health Journal

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This systematic review aims to analyze the state-of-the-art regarding interaction modalities used on serious games for upper limb rehabilitation. A systematic search was performed in IEEE Xplore and Web of Science databases. PRISMA and QualSyst protocols were used to filter and assess the articles. Articles must meet the following inclusion criteria: they must be written in English; be at least four pages in length; use or develop serious games; focus on upper limb rehabilitation; and be published between 2007 and 2017. Of 121 articles initially retrieved, 33 articles met the inclusion criteria. Three interaction modalities were found: vision systems (42.4%), complementary vision systems (30.3%), and no-vision systems (27.2%). Vision systems and no-vision systems obtained a similar mean QualSyst (86%) followed by complementary vision systems (85.7%). Almost half of the studies used vision systems as the interaction modality (42.4%) and used the Kinect sensor to collect the body movements (48.48%). The shoulder was the most treated body part in the studies (19%). A key limitation of vision systems and complementary vision systems is that their device performances might be affected by lighting conditions. A main limitation of the no-vision systems is that the range-of-motion in angles of the body movement might not be measured accurately. Due to a limited number of studies, fruitful areas for further research could be the following: serious games focused on finger rehabilitation and trauma injuries, game difficulty adaptation based on user's muscle strength and posture, and multisensor data fusion on interaction modalities.

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Section: Resultsmentioning

confidence: 99%

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

Aguilar-Lazcano

Rechy-Ramirez

et al. 2019

Games for Health Journal

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“…Although these simple devices are helpful in clinical practice to visualize EMG activity, they usually do not provide much diversity in training. Because more enhanced virtual training environments can offer a range of incentives for therapists and patients, they lead to more repetitions of exercises and a higher degree of patient motivation [11‐14].…”

Section: Introductionmentioning

confidence: 99%

PlayBionic: Game‐Based Interventions to Encourage Patient Engagement and Performance in Prosthetic Motor Rehabilitation

Prahm

Kayali

Sturma

et al. 2018

PM&R

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Background Prosthetic motor rehabilitation usually relies on the highly repetitive training of movements. Patients might drop out of training because the rehabilitation process is long and often discouraging. Game‐based interventions provide a potentially useful alternative to standard myoelectric (electromyographic [EMG]) training and can increase engagement with training. Objective To assess the short‐term impact of a game‐based rehabilitation protocol on parameters for EMG control, evaluate how game‐based interventions affect patient motivation, performance, and effort, and compare the game‐based intervention with a standard tool in rehabilitation (MyoBoy). Design This randomized controlled trial included 2 patient groups and 1 control group. After establishing a baseline, the 2 patient groups received different interventions that were compared with each other and with the able‐bodied control group. Setting University hospital‐based study. Participants Fourteen patients with traumatic transradial or transhumeral upper extremity amputation and 10 able‐bodied participants. Methods For the game‐based intervention, EMG proficiency was assessed before and after playing the games and 2 days later as follow‐up to measure retention rate. EMG proficiency was measured using maximum voluntary contraction, proportional precision control, signal separation, and muscle endurance. Questionnaires for rating the game‐based intervention and intrinsic motivation were provided after the intervention. Outcomes Outcome measures for EMG proficiency were provisional maximum voluntary muscle contraction, precise proportional control, electrode separation, and muscle endurance. Quantitative outcome measures for participant experience were intrinsic motivation, enjoyment, pressure, exerted effort, and usefulness of the intervention. The qualitative outcome measure was the surveyed attitude toward the game‐based intervention. Results Results showed an overall improvement in EMG control, fine muscle activation, and electrode separation. Patients stated that racing games provided slightly more fun, but rhythm‐based games were considered to provide better challenges for EMG control. Conclusion Game‐based interventions provide a useful addition to standard EMG training and can achieve better results in clinical outcome measures. The racing and music game genres provide solid starting points for interventions. Further studies can look at a wider range of genres and identify more specific game mechanics suitable for training. Level of Evidence I

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Remote Monitoring of Physical Rehabilitation of Stroke Patients Using IoT and Virtual Reality

Postolache¹,

Hemanth

Alexandre³

et al. 2021

IEEE J. Select. Areas Commun.

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Virtual reality and serious games for rehabilitation

Cited by 3 publications

References 11 publications

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

Interaction Modalities Used on Serious Games for Upper Limb Rehabilitation: A Systematic Review

PlayBionic: Game‐Based Interventions to Encourage Patient Engagement and Performance in Prosthetic Motor Rehabilitation

Remote Monitoring of Physical Rehabilitation of Stroke Patients Using IoT and Virtual Reality

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