Effects of a balance-based exergaming intervention using the Kinect sensor on posture stability in individuals with Parkinson’s disease: a single-blinded randomized controlled trial

Shih, M; Wang, Ray Yau; Cheng, Shih‐Jung; Yang, Yea Ru

doi:10.1186/s12984-016-0185-y

Cited by 95 publications

(138 citation statements)

References 44 publications

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“…A system for gait assessment in people with a stroke is presented in Clark et al 16 The work in Galna et al 17 is intended for people with Parkinson's disease and proposes a rehabilitation method based on a video game to enhance motivation among users, while providing a preliminary assessment of user's safety. Postural stability is shown to be enhanced in individuals with Parkinson's disease according to the results presented in Shih et al 18 after an exergaming intervention using Kinect.…”

Section: Introductionmentioning

confidence: 81%

A computer-vision-based system for at-home rheumatoid arthritis rehabilitation

Dorado

García

Santofimia

et al. 2019

International Journal of Distributed Sensor Networks

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People suffering from rheumatoid arthritis are normally prescribed with physical exercises. The realization of these exercise routines should be supervised to prevent wrongly adopted postures or bad movements that end up harming the affected articulations. The motivational component associated with a supervised session is also important. On the contrary, having access to qualified supervision is not always possible due to different reasons, such as tight schedules, limited mobility, or economic reasons. This article presents a system for at-home rehabilitation, based on Microsoft Kinect, that resembles the role played by the physiotherapist during the supervision of an exercise session. The system not only supervises the realization of exercises but it also collects and manages information about the exercise-session history. Additionally, and despite affecting young people, rheumatoid arthritis is a disease that mainly affects seniors. For this reason, the system provides a natural interface to ease the interaction. Finally, the performance of the proposed system has been evaluated using a three-dimensional dynamic measurement system as a gold standard to validate the accuracy of the measurements. Obtained results demonstrate the potential of the Kinect-based system for at-home rehabilitation exercise routines.

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Section: Introductionmentioning

confidence: 81%

A computer-vision-based system for at-home rheumatoid arthritis rehabilitation

Dorado

García

Santofimia

et al. 2019

International Journal of Distributed Sensor Networks

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“…The combination of both components allows users to assess augmented feedback in real-time while they perform specific tasks, which results in balance improvement. Third, virtual reality-based training can enhance the motor learning through the repeated accurate performance [ 32 ]. Fourth, specific movements, such as rapid arm movement, are used to maintain and improve balance ability [ 31 , 50 ].…”

Section: Discussionmentioning

confidence: 99%

“…1 . This sensor can construct 3D images from the functional integration of two components, an RGB camera and an infrared sensor [ 29 , 32 ]. The 3D information from this sensor allows users to interact with the object in the virtual environment.…”

Section: Methodsmentioning

confidence: 99%

“…In several studies, there were significant differences in clinical balance measures among participants who had trained with the help of conventional balance exercises, including the VR system [ 18 , 27 , 31 , 32 ]. Additionally, most studies focused on their applications in improving balance for patients with neurological disorders [ 33 – 36 ] or elderly people [ 18 , 25 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

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The effect of virtual reality-based balance training on motor learning and postural control in healthy adults: a randomized preliminary study

et al. 2018

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BackgroundAdults with sedentary lifestyles seem to face a higher risk of falling in their later years. Several causes, such as impairment of strength, coordination, and cognitive function, influence worsening health conditions, including balancing ability. Many modalities can be applied to improve the balance function and prevent falling. Several studies have also recorded the effects of balance training in elderly adults for fall prevention. Accordingly, the aim of this study is to define the effect of virtual reality-based balance training on motor learning and postural control abilities in healthy adults.MethodsFor this study, ten subjects were randomly allocated into either the conventional exercise (CON) or the virtual reality (VR) group. The CON group underwent physical balance training, while the VR group used the virtual reality system 4 weeks. In the VR group, the scores from three game modes were utilized to describe the effect of motor learning and define the learning curves that were derived with the power law function. Wilcoxon Signed Ranks Test was performed to analyze the postural control in five standing tasks, and data were collected with the help of a force plate.ResultsThe average score was used to describe the effect of motor learning by deriving the mathematical models for determining the learning curve. Additionally, the models were classified into two exponential functions that relied on the aim and requirement skills. A negative exponential function was observed in the game mode, which requires the cognitive-motor function. In contrast, a positive exponential function was found in the game with use of only the motor skill. Moreover, this curve and its model were also used to describe the effect of learning in the long term and the ratio of difficulty in each game. In the balance performance, there was a significant decrease in the center of pressure parameters in the VR group, while in the CON group, there was a significant increase in the parameters during some foot placements, especially in the medio-lateral direction.ConclusionThe proposed VR-based training relies on the effect of motor learning in long-term training though different kinds of task training. In postural analysis, both exercise programs are emphasized to improve the balance ability in healthy adults. However, the virtual reality system can promote better outcomes to improve postural control post exercising.Trial registration Retrospectively registered on 25 April 2018. Trial number TCTR20180430005Electronic supplementary materialThe online version of this article (10.1186/s12938-018-0550-0) contains supplementary material, which is available to authorized users.

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“…The Balance Master's SOT was selected because it is regarded as a valid tool to investigate different aspects of balance [10][11][12] including falls risk amongst older adults [13][14][15], proprioceptive decline [16], the effects of age and gender on postural control [17], and the effectiveness of balance-based exergaming [18]. However, high costs and low availability of the specialist equipment needed for posturography and SOT means they are not practical for wide-scale screening [2].…”

Section: Introductionmentioning

confidence: 99%

A new process to measure postural sway using a Kinect depth camera during a Sensory Organisation Test

et al. 2020

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Posturography provides quantitative, objective measurements of human balance and postural control for research and clinical use. However, it usually requires access to specialist equipment to measure ground reaction forces, which are not widely available in practice, due to their size or cost. In this study, we propose an alternative approach to posturography. It uses the skeletal output of an inexpensive Kinect depth camera to localise the Centre of Mass (CoM) of an upright individual. We demonstrate a pipeline which is able to measure postural sway directly from CoM trajectories, obtained from tracking the relative position of three key joints. In addition, we present the results of a pilot study that compares this method of measuring postural sway to the output of a NeuroCom SMART Balance Master. 15 healthy individuals (age: 42.3 ± 20.4 yrs, height: 172 ± 11 cm, weight: 75.1 ± 14.2 kg, male = 11), completed 25 Sensory Organisation Test (SOT) on a NeuroCom SMART Balance Master. Simultaneously, the sessions were recorded using custom software developed for this study (CoM path recorder). Postural sway was calculated from the output of both methods and the level of agreement determined, using Bland-Altman plots. Good agreement was found for eyes open tasks with a firm support, the agreement decreased as the SOT tasks became more challenging. The reasons for this discrepancy may lie in the different approaches that each method takes to calculate CoM. This discrepancy warrants further study with a larger cohort, including fall-prone individuals, cross-referenced with a marker-based system. However, this pilot study lays the foundation for the development of a portable device, which could be used to assess postural control, more cost-effectively than existing equipment.

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Effects of a balance-based exergaming intervention using the Kinect sensor on posture stability in individuals with Parkinson’s disease: a single-blinded randomized controlled trial

Cited by 95 publications

References 44 publications

A computer-vision-based system for at-home rheumatoid arthritis rehabilitation

A computer-vision-based system for at-home rheumatoid arthritis rehabilitation

The effect of virtual reality-based balance training on motor learning and postural control in healthy adults: a randomized preliminary study

A new process to measure postural sway using a Kinect depth camera during a Sensory Organisation Test

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