Musculoskeletal Simulation Based Optimization of Rehabilitation Program

Lee, Leng-Feng; Krovi, Venkat

doi:10.1109/iwvr.2006.1707524

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…3 The rehabilitation field can be facilitated using different devices or equipment. 4 Some evidence reported that the manual rehabilitation process following many injuries and disabilities is long, arduous, and tedious; therefore, patients mostly lack the motivation to follow the program, which can lead to ineffective rehabilitation outcomes and less quality of improvement. 5,6 The advantages of VR for rehabilitation have been applied and performed because of real-time feedback, individual setup, ease of adjustment, and simple measurement possibility, 7,8 especially in physical therapy that has been documented in the fact sheet in the International Association for the Study of Pain (IASP) 2022 as the same as other digital modalities with medical applications (mHealth apps), and telemedicine.…”

Section: Introductionmentioning

confidence: 99%

Updated research trend and clustering algorithm on virtual reality and pulmonary rehabilitation: Scopus-based bibliometric and visual analysis

Leelarungrayub,

Chantaraj,

Thipcharoen

et al. 2024

JAMS

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Background: Virtual reality (VR) is a new innovative technology that can enhance intervention and should promote the effectiveness of rehabilitation, but there is a lack of scientific evidence on the clustering and topic research trend, especially on VR and pulmonary rehabilitation (PR). More evidence about network clusters and trends will encourage the research in the future. Objective: This study aimed to explore, identify, cluster, and forecast analysis for the research trend of VR and PR from the research articles on the SCOPUS database. Materials and methods: In this study, the search terms “virtual reality” AND “pulmonary rehabilitation” were extracted from specific English research articles published on the SCOPUS database between 2013-2023. RStudio software was used to perform bibliometric and visual analysis. During the analysis in the bibliometric tool, the normalization process with Salton’s Cosine and network clustering via trend topic with the Walktrap algorithm was analyzed before specific visualization with the network clustering mapping, Treemap, and trend topic line by KamadaKawai layout algorithm. Results: From the 1,396 articles on “VR” published between 2010 and 2023, there were 13 research articles on “VR AND PR” published between 2013 and 2023. The bibliometric result from 13 articles showed total of 36 subdisciplines correlated networks among virtual reality (20, 7%), male (16, 6%), female (15, 5%), aged (12, 4%), chronic obstructive lung disease (12, 4%), exercise (11, 4%), human (10, 4%), humans (10, 4%), middle-aged (10, 4%), quality of life (10, 4%), article (9, 3%), pulmonary rehabilitation (9, 3%), controlled study (8, 3%), adult (6, 2%), chronic obstructive (6, 2%), clinical article (6, 2%), forced expiratory volume (6, 2%), pulmonary disease (6, 2%), randomized controlled trial (6, 2%), and forced vital capacity (5, 2%), etc., respectively. Three network clusters were reported after the normalization process and clustering evaluation by factorial analysis. The first cluster was composed of virtual reality, male, female, aged, chronic obstructive lung disease, exercise, human, humans, middle-aged, quality of life, article, pulmonary rehabilitation, controlled study, adult, chronic obstructive, clinical article, forced expiratory volume, randomized controlled trial, forced vital capacity, six-minute walk test, depression, technology, telerehabilitation, breathing exercise, Covid-19, dyspnea, functional status, hospital patient, and physical activity, respectively. The second cluster consisted of procedure and exercise therapy, and the last cluster consisted of exercise tolerance, lung, treatment outcome, health program, and convalescence. Finally, trend research topics were presented in virtual reality, male, female, aged, chronic obstructive lung disease, human, exercise, quality of life, and middle-aged, respectively, in 2023. Conclusion: Therefore, the contribution from data analysis in this article can identify the clustering and trend topics of VR, chronic obstructive lung disease, aging participants, exercise, and quality of life in future research.

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Section: Introductionmentioning

confidence: 99%

Updated research trend and clustering algorithm on virtual reality and pulmonary rehabilitation: Scopus-based bibliometric and visual analysis

Leelarungrayub,

Chantaraj,

Thipcharoen

et al. 2024

JAMS

View full text Add to dashboard Cite

show abstract

“…are example of the hardware development. On the other hand, simulation research focus more on developing a mathematical model for human upper limb [6] or using software for data manipulation and optimization [7].…”

Section: Introductionmentioning

confidence: 99%

Musculoskeletal Analysis of Upper Limb Rehabilitation Robot Prototype

Mohamaddan

Jamali

Majid

et al. 2016

AMM

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Stroke is the third largest cause of death in Malaysia. Different approaches including hardware development and simulation were conducted to support the conventional rehabilitation courses. New upper limb rehabilitation robot prototype was developed for this research. The prototype consists of horizontal and vertical movement exercise. The prototype was modeled and simulated using ergonomics optimization software known as AnyBody. This paper presents the analysis of human upper limb muscles during rehabilitation exercise using virtual human model. The result shows that eleven muscle areas were affected during the rehabilitation exercise using new prototype.

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A parallel robot for ankle rehabilitation-evaluation and its design specifications

Syrseloudis

Emiris

2008

2008 8th IEEE International Conference on BioInformatics and BioEngineering

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Abstract-This paper investigates several robotic mechanisms for ankle function evaluation, measurement and physiotherapy. For the choice, design and operation of the mechanism the kinematics of the foot is described. This is based on a kinematics model of foot adopted from biomechanics literature, under the hypothesis that foot kinematics is similar to that of a 2R serial robot. A 3D scanner and an inertial sensor were used in order to fully specify the design framework by studying a larger sample of healthy subjects. Our experimental analysis confirms and enhances the 2R foot model, and leads us to the choice of the specific mechanism. We compute the required workspace and thus address the issues required for a complete and efficient design. We compare mechanisms based on serial and parallel robots, and choose a parallel tripod with an extra rotation axis for its simplicity, accuracy and generality. The robot must be capable to perform several multi-axis motions and sustain a significant range of forces and torques. The kinematic analysis of the robot confirms that it can follow all the range of foot movements.

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Musculoskeletal Simulation Based Optimization of Rehabilitation Program

Cited by 8 publications

References 9 publications

Updated research trend and clustering algorithm on virtual reality and pulmonary rehabilitation: Scopus-based bibliometric and visual analysis

Updated research trend and clustering algorithm on virtual reality and pulmonary rehabilitation: Scopus-based bibliometric and visual analysis

Musculoskeletal Analysis of Upper Limb Rehabilitation Robot Prototype

A parallel robot for ankle rehabilitation-evaluation and its design specifications

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