Virtual Reality System for Multiple Sclerosis Rehabilitation using KINECT

Lozano-Quilis, José-Antonio; Oltra-Badenes, Raúl; Gil-Gómez, José-Antonio; Albiol-Pérez, Sergio; Palacios, Guillermo; Fardoum, Habib M.; Mashat, Abdulfattah S.

doi:10.4108/icst.pervasivehealth.2013.252208

Cited by 45 publications

(15 citation statements)

References 11 publications

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“…Also, Zannatha et al [22] proposed a rehabilitation system for stroke survivors by combining Kinect, a humanoid robot and ergonometric signals. Lozano-Quilis et al [23] have proposed a system using virtual reality and natural user interfaces for the rehabilitation of patients with multiple sclerosis. In [24], a virtual reality-based exergame for post-stroke rehabilitation has been introduced and called Motion Rehab AVE 3D.…”

Section: Introductionmentioning

confidence: 99%

Home self-training: Visual feedback for assisting physical activity for stroke survivors

Baptista

Ghorbel

Shabayek

et al. 2019

Computer Methods and Programs in Biomedicine

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Background and Objective: With the increase in the number of stroke survivors, there is an urgent need for designing appropriate home-based rehabilitation tools to reduce health-care costs. The objective is to empower the rehabilitation of post-stroke patients at the comfort of their homes by supporting them while exercising without the physical presence of the therapist. Methods: A novel low-cost home-based training system is introduced. This system is designed as a composition of two linked applications: one for the therapist and another one for the patient. The therapist prescribes personalized exercises remotely, monitors the home-based training and re-adapts the exercises if required. On the other side, the patient loads the prescribed exercises, trains the prescribed exercise while being guided by color-based visual feedback and gets updates about the exercise performance. To achieve that, our system provides three main functionalities, namely: 1) Feedback proposals guiding a personalized exercise session, 2) Posture monitoring optimizing the effectiveness of the session, 3) Assessment of the quality of the motion. Results: The proposed system is evaluated on 10 healthy participants without any previous contact with the system. To analyze the impact of the feedback proposals, we carried out two different experimental sessions: without and with feedback proposals. The obtained results give preliminary assessments about the interest of using such feedback. Conclusions: Obtained results on 10 healthy participants are promising. This encourages to test the system in a realistic clinical context for the rehabilitation of stroke survivors.

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Section: Introductionmentioning

confidence: 99%

Home self-training: Visual feedback for assisting physical activity for stroke survivors

Baptista

Ghorbel

Shabayek

et al. 2019

Computer Methods and Programs in Biomedicine

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“…They consist of hardware systems, generally low-cost systems, and having an easy integration in the daily clinical routine. To obtain these goals (low-cost and easy integration), the current trend deals with the use of interfaces originally designed for game consoles, such us the Nintendo WBB [14][15][16][17][18][19] or the Microsoft Kinect TM [20][21][22] as well as devices such us Tablet PCs [23].…”

Section: Introductionmentioning

confidence: 99%

A Kinect-Based System for Lower Limb Rehabilitation in Parkinson’s Disease Patients: a Pilot Study

2015

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This work brings together the emerging virtual reality techniques and the natural user interfaces to offer new possibilities in the field of rehabilitation. We have designed a rehabilitation game based on a low cost device (Microsoft Kinect(TM)) connected to a personal computer. It provides patients having Parkinson's Disease (PD) with a motivating way to perform several motor rehabilitation exercises to improve their rehabilitation. The experiment was tested on seven Parkinson's Disease patients and results demonstrated significant improvements in completion time score and in the 10 Meters Walk Test score. Nevertheless, additional research is needed to determine if this type of training has a long-term impact. Both the device and protocol were well accepted by subjects, being safe and easy to use. We conclude that our work provides a simple and suitable tool resulting in a more enriching rehabilitation process where motivation is highly encouraged in PD patients. Feedback coming from participants corroborate the hypothesis that the system can be applied not only in clinical rehabilitation centers but at home.

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“…This can be overcome by 5G‐enabled TI. In Lozano‐Quilis et al, authors have designed low‐cost VR‐based Microsoft Kinect REMOVIEM system for multiple sclerosis rehabilitation. They evaluated the system by selecting 12 patients including male and female, with criteria age (between 25 and 35), no cognitive impairments, requirement of assistance devices, and early‐stage patients.…”

Section: Ti Deployment In Smart Applicationsmentioning

confidence: 99%

Tactile internet and its applications in 5G era: A comprehensive review

Gupta

Tanwar

Tyagi

et al. 2019

Int J Communication

125

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Over the last few years, communication latency has been a major hurdle for most of the applications deployed in different network domains. During this era, a number of communication protocols and standards were developed and used by the community. However, still, the problem of latency persists keeping in view of the quality of service (QoS) and quality of experience (QoE) for different applications. To mitigate the aforementioned issues, in this paper, we present an in-depth survey of state-of-the art proposals having tactile internet as a backbone for delay mitigation using 5G networks for future ultra-reliable low-latency applications such as Healthcare 4.0, Industry 4.0, virtual reality and augmented reality, and smart education. From the existing proposals, it has been observed that tactile internet can provide interactions between virtual objects to give a feel of real environment with maximum latency of 1 millisecond. Also, this paper highlights the key differences between the tactile internet and Internet of Things in context with 5G revolution. Then open issues and challenges of tactile internet for smart applications are analyzed. Finally, a comparison of existing proposals with respect to various parameters is presented, which allows the end users to select one of the proposals in comparison with its merits over the others. KEYWORDSHealthcare 4.0, Industry 4.0, IoT, latency, reliability, tactile internet, 5G INTRODUCTIONMobile communication allows users to exchange data using smart devices ubiquitously using the mobile internet (MI). MI has millions of connected smart devices irrespective of their locations. It has revolutionized the different segments of industries such as health care, logistics, education, gaming, and transportation for maintaining quality of service (QoS) and quality of experience (QoE) for different applications. Moreover, it provides a device-to-device (D2D) communication, ie, ubiquitous communication for data sharing and communication between devices. This D2D communication coined the new term, the Internet of Things (IoT), 1 which provides the low power devices or equipments to perform specific tasks in the environment where they are deployed. IoT is being used in various smart city applications such as smart lightening, smart parking, waste management, traffic congestion, and forest fire detection. In D2D communication, the mobile devices can share prime or critical information in which a delay of even millisecond can harm the persons life (for example, the information sharing during robotic telesurgery). Existing cellular systems infrastructure is not suitable for such sensitive data sharing because of low data rates and long delay (greater than 20 ms). However, for D2D communications, Int J Commun Syst. 2019;32:e3981.wileyonlinelibrary.com/journal/dac

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Virtual Reality System for Multiple Sclerosis Rehabilitation using KINECT

Cited by 45 publications

References 11 publications

Home self-training: Visual feedback for assisting physical activity for stroke survivors

Home self-training: Visual feedback for assisting physical activity for stroke survivors

A Kinect-Based System for Lower Limb Rehabilitation in Parkinson’s Disease Patients: a Pilot Study

Tactile internet and its applications in 5G era: A comprehensive review

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