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虚拟现实与触觉反馈相结合的中风后下肢康复

Stroke Affected Lower Limbs Rehabilitation Combining Virtual Reality With Tactile Feedback.

作者信息

Zakharov Alexander V, Bulanov Vladimir A, Khivintseva Elena V, Kolsanov Alexander V, Bushkova Yulia V, Ivanova Galina E

机构信息

Department of Neurology and Neurosurgery, Samara State Medical University, Samara, Russia.

MathBio Laboratory, IT Universe Ltd., Samara, Russia.

出版信息

Front Robot AI. 2020 Jul 9;7:81. doi: 10.3389/frobt.2020.00081. eCollection 2020.

Abstract

In our study, we tested a combination of virtual reality (VR) and robotics in the original adjuvant method of post-stroke lower limb walk restoration in acute phase using a simulation with visual and tactile biofeedback based on VR immersion and physical impact to the soles of patients. The duration of adjuvant therapy was 10 daily sessions of 15 min each. The study showed the following significant rehabilitation progress in Control ( = 27) vs. Experimental ( = 35) groups, respectively: 1.56 ± 0.29 (mean ± SD) and 2.51 ± 0.31 points by Rivermead Mobility Index ( = 0.0286); 2.15 ± 0.84 and 6.29 ± 1.20 points by Fugl-Meyer Assessment Lower Extremities scale ( = 0.0127); and 6.19 ± 1.36 and 13.49 ± 2.26 points by Berg Balance scale ( = 0.0163). -values were obtained by the Mann-Whitney test. The simple and intuitive mechanism of rehabilitation, including through the use of sensory and semantic components, allows the therapy of a patient with diaschisis and afferent and motor aphasia. Safety of use allows one to apply the proposed method of therapy at the earliest stage of a stroke. We consider the main finding of this study that the application of rehabilitation with implicit interaction with VR environment produced by the robotics action has measurable significant influence on the restoration of the affected motor function of the lower limbs compared with standard rehabilitation therapy.

摘要

在我们的研究中,我们在急性期中风后下肢行走恢复的原始辅助方法中测试了虚拟现实(VR)和机器人技术的组合,该方法基于VR沉浸式体验以及对患者脚底的物理冲击进行视觉和触觉生物反馈模拟。辅助治疗的持续时间为每天10次,每次15分钟。该研究分别显示了对照组(n = 27)和实验组(n = 35)在康复方面的显著进展:Rivermead运动指数分别为1.56±0.29(平均值±标准差)和2.51±0.31分(p = 0.0286);Fugl-Meyer下肢评估量表分别为2.15±0.84和6.29±1.20分(p = 0.0127);Berg平衡量表分别为6.19±1.36和13.49±2.26分(p = 0.0163)。p值通过Mann-Whitney U检验获得。康复机制简单直观,包括通过使用感觉和语义成分,可用于治疗患有失联络症以及传入性和运动性失语症的患者。使用的安全性使得可以在中风的最早阶段应用所提出的治疗方法。我们认为本研究的主要发现是,与标准康复治疗相比,通过机器人动作产生的与VR环境的隐式交互进行康复治疗,对下肢受影响的运动功能恢复具有可测量的显著影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a1/7805611/ca719b28c99f/frobt-07-00081-g0001.jpg

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