Augmented reality-based RehaBio system for shoulder rehabilitation

Aung, Yee Mon; Al-Jumaily, Adel

doi:10.1504/ijma.2014.059774

Cited by 18 publications

(16 citation statements)

References 20 publications

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“…Of these, 123 were discarded since they did not fulfil the inclusion criteria: Seven papers were not written in English, three were book chapters, 112 were not related to shoulder rehabilitation. A total of 12 articles remained relevant for inclusion, corresponding to nine different AR-based systems for shoulder rehabilitation (see Figure 1): NeuroR [18], ARS [19], RehaBio [20], MirrARbilitation [21,22], ARIS [23,24], AR Games by De Leon et al [25], SleeveAR [26,27], AR Fruit Ninja [28], AR System by Colomer et al [29]. The following section presents an overview of the AR-based reviewed systems for shoulder rehabilitation, as well as an analysis and discussion of their technical and clinical aspects.…”

Section: Overview Technical and Clinical Aspects Of Ar-based Systemsmentioning

confidence: 99%

“…RehaBio [20] (Figure 1, top-right) is an AR system for home rehabilitation that can be used to restore the upper-limb lost functions of patients who have hemiparesis from stroke, traumatic brain injury (TBI), or spinal cord injury (SCI). The system includes three modules: (1) a database module to store patient profile and training information, (2) a module for AR-based rehabilitation comprising four exercises (pin pong rehab, balloon collection rehab, transfer object rehab, and feeding animal rehab), and (3) a biofeedback simulation module (as described in Section 2.3) to monitor and to visualize the trained muscles performance.…”

Section: Ars [19]mentioning

confidence: 99%

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Review of the Augmented Reality Systems for Shoulder Rehabilitation

et al. 2019

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Literature shows an increasing interest for the development of augmented reality (AR) applications in several fields, including rehabilitation. Current studies show the need for new rehabilitation tools for upper extremity, since traditional interventions are less effective than in other body regions. This review aims at: Studying to what extent AR applications are used in shoulder rehabilitation, examining wearable/non-wearable technologies employed, and investigating the evidence supporting AR effectiveness. Nine AR systems were identified and analyzed in terms of: Tracking methods, visualization technologies, integrated feedback, rehabilitation setting, and clinical evaluation. Our findings show that all these systems utilize vision-based registration, mainly with wearable marker-based tracking, and spatial displays. No system uses head-mounted displays, and only one system (11%) integrates a wearable interface (for tactile feedback). Three systems (33%) provide only visual feedback; 66% present visual-audio feedback, and only 33% of these provide visual-audio feedback, 22% visual-audio with biofeedback, and 11% visual-audio with haptic feedback. Moreover, several systems (44%) are designed primarily for home settings. Three systems (33%) have been successfully evaluated in clinical trials with more than 10 patients, showing advantages over traditional rehabilitation methods. Further clinical studies are needed to generalize the obtained findings, supporting the effectiveness of the AR applications.

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Section: Overview Technical and Clinical Aspects Of Ar-based Systemsmentioning

confidence: 99%

Section: Ars [19]mentioning

confidence: 99%

Review of the Augmented Reality Systems for Shoulder Rehabilitation

et al. 2019

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“…However, the appearance of the VA model will be improved by utilizing of specialized AR rendering API and imported into ARIS which is currently undertaking. As far as future work is concerned, blending with our previous developments [8] to provide the various choices of upper limb rehabilitation exercises and display of real-time activated muscle display. After upgrading has completed, new version of ARIS will be conducted more non-clinical trials and clinical trials at Port Kembla Hospital, New South Wales, …”

Section: Results Discussionmentioning

confidence: 99%

“…However, robotics assistive systems [2,3] consider as an expensive approach due to its hardware development cost although the better recovery result were provided for major impairment. Therefore, developments of the non robotics assistive system such as Virtual Reality (VR) based rehabilitation systems [4] and Augmented Reality (AR) based rehabilitation systems [5,6] become popular because they provide better motivation by integrating with games like exercises as rehabilitation exercises. In addition to that, researchers have integrated with biofeedback system to VR [7] or AR system [8] or even with robotics assistive systems [2,9] to provide fast recovery and studies have proven with positive results via clinical trials [10].…”

Section: Introductionmentioning

confidence: 99%

Real Time Biosignal-Driven Illusion System for Upper Limb Rehabilitation

Aung

Al-Jumaily

2014

Biomedical Engineering / 817: Robotics Applications

Self Cite

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This paper presents design and development of real time biosignal-driven illusion system: Augmented Reality based Illusion System (ARIS) for upper limb motor rehabilitation. ARIS is a hospital / home based selfmotivated whole arm rehabilitation system that aims to improve and restore the lost upper limb functions due to Cerebrovascular Accident (CVA) or stroke. Taking the advantage of human brain plasticity nature, the system incorporates with number of technologies to provide fast recovery by re-establishing the neural pathways and synapses that able to control the mobility. These technologies include Augmented Reality (AR) where illusion environment is developed, computer vision technology to track multiple colors in real time, EMG acquisition system to detect the user intention in real time and 3D modelling library to develop Virtual Arm (VA) model where human biomechanics are applied to mimic the movement of real arm. The system operates according to the user intention via surface electromyography (sEMG) threshold level. In the case of real arm cannot reach to the desired position, VA will take over the job of real arm to complete the exercise. The effectiveness of the developed ARIS has evaluated via questionnaire, graphical and analytical measurements which provided with positive results.

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“…The next most common game type was video games (15.4%, 26/169), along with some efforts to develop AR systems (10.1%, 17/169). With respect to AR, most of these studies used cameras and markers on the hand to recreate objects on the screen [28][29][30][31][32][33][34][35][36][37][38][39], although some recent studies used advanced technologies to create a 3D reality [23,40,41].…”

Section: Game Typementioning

confidence: 99%

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

Koutsiana¹,

Ladakis²,

Fotopoulos³

et al. 2020

JMIR Serious Games

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Background: Serious gaming has increasingly gained attention as a potential new component in clinical practice. Specifically, its use in the rehabilitation of motor dysfunctions has been intensively researched during the past three decades. Objective: The aim of this scoping review was to evaluate the current role of serious games in upper extremity rehabilitation, and to identify common methods and practice as well as technology patterns. This objective was approached via the exploration of published research efforts over time. Methods: The literature search, using the PubMed and Scopus databases, included articles published from 1999 to 2019. The eligibility criteria were (i) any form of game-based arm rehabilitation; (ii) published in a peer-reviewed journal or conference; (iii) introduce a game in an electronic format; (iv) published in English; and (v) not a review, meta-analysis, or conference abstract. The search strategy identified 169 relevant articles. Results: The results indicated an increasing research trend in the domain of serious gaming deployment in upper extremity rehabilitation. Furthermore, differences regarding the number of publications and the game approach were noted between studies that used commercial devices in their rehabilitation systems and those that proposed a custom-made robotic arm, glove, or other devices for the connection and interaction with the game platform. A particularly relevant observation concerns the evaluation of the introduced systems. Although one-third of the studies evaluated their implementations with patients, in most cases, there is the need for a larger number of participants and better testing of the rehabilitation scheme efficiency over time. Most of the studies that included some form of assessment for the introduced rehabilitation game mentioned user experience as one of the factors considered for evaluation of the system. Besides user experience assessment, the most common evaluation method involving patients was the use of standard medical tests. Finally, a few studies attempted to extract game features to introduce quantitative measurements for the evaluation of patient improvement. Conclusions: This paper presents an overview of a significant research topic and highlights the current state of the field. Despite extensive attempts for the development of gamified rehabilitation systems, there is no definite answer as to whether a serious game is a favorable means for upper extremity functionality improvement; however, this certainly constitutes a supplementary means for motivation. The development of a unified performance quantification framework and more extensive experiments could generate richer evidence and contribute toward this direction.

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Augmented reality-based RehaBio system for shoulder rehabilitation

Cited by 18 publications

References 20 publications

Review of the Augmented Reality Systems for Shoulder Rehabilitation

Review of the Augmented Reality Systems for Shoulder Rehabilitation

Real Time Biosignal-Driven Illusion System for Upper Limb Rehabilitation

Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review

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