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I-BaR:综合平衡康复框架

I-BaR: integrated balance rehabilitation framework.

作者信息

Ersoy Tugce, Kaya Pınar, Hocaoglu Elif, Unal Ramazan

机构信息

Department of Mechanical Engineering, Human-Centered Design Laboratory, Ozyegin University, Istanbul, Türkiye.

Department of Physiotherapy and Rehabilitation, Istanbul Medipol University, Istanbul, Türkiye.

出版信息

Front Neurorobot. 2024 Jul 3;18:1401931. doi: 10.3389/fnbot.2024.1401931. eCollection 2024.

Abstract

Neurological diseases are observed in approximately 1 billion people worldwide. A further increase is foreseen at the global level as a result of population growth and aging. Individuals with neurological disorders often experience cognitive, motor, sensory, and lower extremity dysfunctions. Thus, the possibility of falling and balance problems arise due to the postural control deficiencies that occur as a result of the deterioration in the integration of multi-sensory information. We propose a novel rehabilitation framework, Integrated Balance Rehabilitation (I-BaR), to improve the effectiveness of the rehabilitation with objective assessment, individualized therapy, convenience with different disability levels and adoption of assist-as-needed paradigm and, with integrated rehabilitation process as whole, that is, ankle-foot preparation, balance, and stepping phases, respectively. Integrated Balance Rehabilitation allows patients to improve their balance ability by providing multi-modal feedback: visual via utilization of virtual reality; vestibular via anteroposterior and mediolateral perturbations with the robotic platform; proprioceptive via haptic feedback.

摘要

全球约有10亿人患有神经系统疾病。由于人口增长和老龄化,预计全球此类疾病的发病率还会进一步上升。患有神经系统疾病的人常伴有认知、运动、感觉和下肢功能障碍。因此,由于多感官信息整合能力下降导致姿势控制不足,进而出现跌倒和平衡问题。我们提出了一种新型康复框架——综合平衡康复(I-BaR),以通过客观评估、个性化治疗、适应不同残疾程度的便利性以及采用按需辅助模式,提高康复效果,并将整个康复过程整合起来,即分别为踝足准备、平衡和迈步阶段。综合平衡康复通过提供多模式反馈,让患者提高平衡能力:利用虚拟现实提供视觉反馈;通过机器人平台进行前后和内外侧扰动提供前庭反馈;通过触觉反馈提供本体感觉反馈。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/950a/11252086/d72836ef598f/fnbot-18-1401931-g0001.jpg

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