Integration of Virtual Reality and an Assistive Device for Hand Rehabilitation Following Stroke

Jia, Yicheng; Toro, Maria Luisa; Luo, Xun; Lau, S. H.; Kenyon, Robert V.; Kamper, Derek G.

doi:10.1109/iccme.2007.4381960

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…As shown in Table I, states such as welcome, farewell and shutdown have only one occurrence, since they cannot return to its state again. On the other hand, event-depending states and data-depending states were triggered more than 4 See the DCM description in: http://doc.aldebaran.com/2-1/naoqi/sensors/dcm.html#dcm once. This is the case for the motivation state and Borg Scale states, that were triggered both 6 times.…”

Section: Performance Assessmentmentioning

confidence: 99%

“…For stroke rehabilitation, Merians et al implemented a virtual reality system using 3D graphics, showing improvement in different motor tasks [3]. Luo et al designed an augmented reality rehab system for post-stroke hand rehabilitation, the system was evaluated on pilot case studies during 6-week training, showing user acceptance of the technology and potential for beneficial effects [4]. Furthermore, Jack et al proposed an augmented reality framework for post-stroke rehabilitation to perform repetitive motor tasks during therapy, obtaining an increasing of patient's encouragement [5].…”

Section: Introductionmentioning

confidence: 99%

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Architecture for a Social Assistive Robot in Cardiac Rehabilitation

Casas

Gomez

Senft

et al. 2018

2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA)

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Social robots are demonstrating to have potential in several health care applications, especially in rehabilitation areas. This paper presents an architecture for a socially assistive robot system for cardiac rehabilitation, based on a model-controller structure through a finite-state machine and a behaviour module. The platform has been designed to provide social support and assistance during the therapy, aiming to improve the quality of the provided service, as well as the engagement and performance of the patients. This architecture has been tested under clinical conditions with a patient during a typical therapy session. The results show that a suitable performance to the different situations presented during the session and providing a robust framework to further develop the robot's behavior towards a more natural and intuitive interaction with patients.

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Section: Performance Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Architecture for a Social Assistive Robot in Cardiac Rehabilitation

Casas

Gomez

Senft

et al. 2018

2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA)

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“…Furthermore, glove devices that require a virtual reality system or computer graph are passive devices and cannot generate This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ assistive external force on the finger [27], [28]. They are also expensive and not affordable to all patients.…”

mentioning

confidence: 99%

Biomechanical Evaluation of Dynamic Splint Based on Pulley Rotation Design for Management of Hand Spasticity

Yang

Emzain

Huang

2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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A dynamic splint is superior to traditional static splint, offering more benefits such as reduced spasticity, allowing comfortable stretch, repositioning fingers in extension positions, and increasing hand performance. This paper suggested the development of a dynamic splint based on a pulley rotation with a locking system as a home rehabilitation device to reduce hand spasticity in stroke patients. Moreover, this study consisted of two main activities: simulation using finite element analysis and clinical experimental trials. Eight stroke patients participated in 4 weeks of intervention using the proposed dynamic splint for a combined total of least 3 hours per day at home. Outcome measures included Fugl-Meyer Assessment (FMA) and Modified Modified Ashworth Scale (MMAS) at baseline, 2 weeks, and 4 weeks. After 4 weeks of wearing, participants were also asked to fill out a satisfaction questionnaire. The results showed that wearing this proposed dynamic splint over 4 weeks, the hand function of participants increased significantly(p < 0.05), and the spasticity of the hand muscles decreased significantly(p < 0.05). With an overall rating of 8 out of 10 points, stroke participants had a high level of satisfaction with this home-use dynamic splint. The findings indicated that stroke patients who used this proposed splint showed substantial changes in hand function and reduced hand spasticity.

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