3D Analysis of Upper Limbs Motion During Rehabilitation Exercises Using the Kinect&lt;sup&gt;TM&lt;/sup&gt; Sensor: Development, Laboratory Validation and Clinical Application

Bonnechère, Bruno; Sholukha, Victor; Omelina, Luboš; Jan, Serge Van Sint; Jansen, Bart

doi:10.20944/preprints201805.0435.v1

Cited by 7 publications

(2 citation statements)

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“…However, it was shown that using the displacement of wrist relative to trunk appears to be a good approach to evaluate upper limb function during rehabilitation exercises using serious games [ 15 ]. Furthermore, results obtained from Kinect and gold-standard optoelectronic device to assess upper limb functions are significantly correlated [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Automated functional upper limb evaluation of patients with Friedreich ataxia using serious games rehabilitation exercises

Bonnechère

Jansen

Haack

et al. 2018

J NeuroEngineering Rehabil

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BackgroundFriedreich ataxia (FRDA) is a disease with neurological and systemic involvement. Clinical assessment tools commonly used for FRDA become less effective in evaluating decay in patients with advanced FRDA, particularly when they are in a wheelchair. Further motor worsening mainly impairs upper limb function. In this study, we tested if serious games (SG) developed for rehabilitation can be used as an assessment tool for upper limb function even in patients with advanced FRDA.MethodsA specific SG has been developed for physical rehabilitation of patients suffering from neurologic diseases. The use of this SG, coupled with Kinect sensor, has been validated to perform functional evaluation of the upper limbs with healthy subjects across lifespan. Twenty-seven FRDA patients were included in the study. Patients were invited to perform upper limb rehabilitation exercises embedded in SG. Motions were recorded by the Kinect and clinically relevant parameters were extracted from the collected motions. We tested if the existence of correlations between the scores from the serious games and the severity of the disease using clinical assessment tools commonly used for FRDA. Results of patients were compared with a group a healthy subjects of similar age.ResultsVery highly significant differences were found for time required to perform the exercise (increase of 76%, t(68) = 7.22, P < 0.001) and for accuracy (decrease of 6%, t(68) = − 3.69, P < 0.001) between patients and healthy subjects. Concerning the patients significant correlations were found between age and time (R = 0.65, p = 0.015), accuracy (R = − 0.75, p = 0.004) and the total displacement of upper limbs. (R = 0.55, p = 0.031). Statistically significant correlations were found between the age of diagnosis and speed related parameters.ConclusionsThe results of this study indicate that SG reliably captures motor impairment of FRDA patients due to cerebellar and pyramidal involvement. Results also show that functional evaluation of FRDA patients can be performed during rehabilitation therapy embedded in games with the patient seated in a wheelchair.Trial registrationThe study was approved as a component of the EFACTS study (Clinicaltrials.gov identifier NCT02069509, registered May 2010) by the local institutional Ethics Committee (ref. P2010/132).

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Section: Introductionmentioning

confidence: 99%

Automated functional upper limb evaluation of patients with Friedreich ataxia using serious games rehabilitation exercises

Bonnechère

Jansen

Haack

et al. 2018

J NeuroEngineering Rehabil

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“…The Kinect somatosensory device produced by Microsoft Corporation is a 3D somatosensory camera. It also includes real-time dynamic capture, image recognition, microphone input, speech recognition, and community interaction [1]- [3]. The patient does not need to wear any sensor on the body.…”

Section: Introductionmentioning

confidence: 99%

Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect

Wang

Liu²,

Lan

2019

IEEE Access

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The virtual rehabilitation system combining virtual rehabilitation environment and upper limb rehabilitation technology is interactive and interesting, which can improve the enthusiasm and initiative of patients for rehabilitation training, improve the efficiency of rehabilitation training and improve the effect of rehabilitation treatment. This paper firstly conducts in-depth research and analysis on the research progress of the upper limb rehabilitation robot system, and deeply studies the principle and rehabilitation principle of the stroke caused by hemiplegic dyskinesia, and summarizes the goals and methods of the upper limb rehabilitation system design. Secondly, the hand motion tracking is realized by Kinect's bone tracking, and the optimal tracking distance is determined experimentally, which verifies the stability and robustness of the tracking. Static gesture recognition adopts two gesture recognition schemes based on Kinect depth image and color space model respectively. Finally, using the rehabilitation robot and Kinect sensor as the hardware platform, the virtual rehabilitation training system experimental platform is constructed, and the horizontal rehabilitation exercise and the three-dimensional space rehabilitation exercise are respectively studied experimentally, and the exercise data obtained by using healthy subjects as the experimental object is analyzed. Based on this, the validity and feasibility of the Kinect-based upper limb exercise rehabilitation interactive system were verified.

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Integrating Rehabilomics into the Multi-Omics Approach in the Management of Multiple Sclerosis: The Way for Precision Medicine?

Bonnechère

2022

Genes

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Over recent years, significant improvements have been made in the understanding of (epi)genetics and neuropathophysiological mechanisms driving the different forms of multiple sclerosis (MS). For example, the role and importance of the bidirectional communications between the brain and the gut—also referred to as the gut-brain axis—in the pathogenesis of MS is receiving increasing interest in recent years and is probably one of the most promising areas of research for the management of people with MS. However, despite these important advances, it must be noted that these data are not—yet—used in rehabilitation. Neurorehabilitation is a cornerstone of MS patient management, and there are many techniques available to clinicians and patients, including technology-supported rehabilitation. In this paper, we will discuss how new findings on the gut microbiome could help us to better understand how rehabilitation can improve motor and cognitive functions. We will also see how the data gathered during the rehabilitation can help to get a better diagnosis of the patients. Finally, we will discuss how these new techniques can better guide rehabilitation to lead to precision rehabilitation and ultimately increase the quality of patient care.

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3D Analysis of Upper Limbs Motion During Rehabilitation Exercises Using the Kinect<sup>TM</sup> Sensor: Development, Laboratory Validation and Clinical Application

Cited by 7 publications

References 35 publications

Automated functional upper limb evaluation of patients with Friedreich ataxia using serious games rehabilitation exercises

Automated functional upper limb evaluation of patients with Friedreich ataxia using serious games rehabilitation exercises

Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect

Integrating Rehabilomics into the Multi-Omics Approach in the Management of Multiple Sclerosis: The Way for Precision Medicine?

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