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Exoskeleton-Robot Assisted Therapy in Stroke Patients: A Lesion Mapping Study

机译:外骨骼机器人辅助治疗中风的患者:病灶图研究

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摘要

>Background: Technology-supported rehabilitation is emerging as a solution to support therapists in providing a high-intensity, repetitive and task-specific treatment, aimed at improving stroke recovery. End-effector robotic devices are known to positively affect the recovery of arm functions, however there is a lack of evidence regarding exoskeletons. This paper evaluates the impact of cerebral lesion load on the response to a validated robotic-assisted rehabilitation protocol.>Methods: Fourteen hemiparetic patients were assessed in a within-subject design (age 66.9 ± 11.3 years; 10 men and 4 women). Patients, in post-acute phase, underwent 7 weeks of bilateral arm training assisted by an exoskeleton robot combined with a conventional treatment (consisting of simple physical activity together with occupational therapy). Clinical and neuroimaging evaluations were performed immediately before and after rehabilitation treatments. Fugl-Meyer (FM) and Motricity Index (MI) were selected to measure primary outcomes, i.e., motor function and strength. Functional independance measure (FIM) and Barthel Index were selected to measure secondary outcomes, i.e., daily living activities. Voxel-based lesion symptom mapping (VLSM) was used to determine the degree of cerebral lesions associated with motor recovery.>Results: Robot-assisted rehabilitation was effective in improving upper limb motor function recovery, considering both primary and secondary outcomes. VLSM detected that lesion load in the superior region of the corona radiata, internal capsule and putamen were significantly associated with recovery of the upper limb as defined by the FM scores (p-level < 0.01).>Conclusions: The probability of functional recovery from stroke by means of exoskeleton robotic rehabilitation relies on the integrity of specific subcortical regions involved in the primary motor pathway. This is consistent with previous evidence obtained with conventional neurorehabilitation approaches.
机译:>背景:技术支持的康复正在成为一种解决方案,以支持治疗师提供高强度,重复性和针对特定任务的治疗,以改善卒中恢复。已知末端执行器机器人设备会对手臂功能的恢复产生积极影响,但是,缺乏关于外骨骼的证据。本文评估了脑部病变负荷对经过验证的机器人辅助康复方案的反应的影响。>方法:在受试者内部设计中评估了14名偏瘫患者(年龄66.9±11.3岁; 10名男性)和4名女性)。急性期后,患者在外骨骼机器人的协助下与常规治疗(由简单的体育锻炼和职业治疗组成)一起接受了7周的双侧手臂训练。在康复治疗之前和之后立即进行临床和神经影像学评估。选择Fugl-Meyer(FM)和Motricity Index(MI)来测量主要结果,即运动功能和力量。选择功能独立性测量(FIM)和Barthel指数来测量次要结局,即日常生活活动。基于体素的病变症状图谱(VLSM)用于确定与运动恢复有关的脑部病变的程度。>结果:考虑到原发性和继发性,机器人辅助康复可有效改善上肢运动功能的恢复次要结果。 VLSM检测到,根据FM评分定义,电晕放射线,内囊和壳核的上部区域的病变负荷与上肢的恢复显着相关(p水平<0.01)。>结论:通过外骨骼机器人康复从中风中恢复功能的可能性取决于参与主要运动通路的特定皮层下区域的完整性。这与常规神经康复方法获得的先前证据一致。

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