脑机接口控制手外骨骼在脑瘫患者康复中的应用

PD Bobrov, E. Biryukova, B. Polyaev, OA Lajsheva, EL Usachjova, AV Sokolova, DI Mikhailova, KN Dement'eva, I. Fedotova
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引用次数: 7

摘要

脑瘫是儿童期最严重的伴有运动障碍的中枢神经系统疾病之一。该研究旨在评估由脑机接口(BCI)和手外骨骼组成的复合物作为CP患者运动功能恢复的工具补充基本治疗的效率。采用Fugl-Meyer评估量表、ARAT测试和Jebsen-Taylor功能测试对14名儿童和青少年进行运动功能改善评估,并辅以7-10 bci -外骨骼治疗。研究了运动想象脑机接口控制过程中脑电多节律源的特性。程序完成后,Fugl-Meyer量表得分显著提高(7 (2;11)用于手部主动运动;4.5 (1;6)为近端臂,2.5 (0;5)手),ARAT考试成绩(7.5 (1;总分为1.5分(0分;12)为抓握运动,1.5 (0;8)对于握把运动),并且在7个贾布森-泰勒函数测试项目中有3个项目的执行时间减少为零(-1 (-4.13;0.25)为模拟进料;1 (2;0)用于移动轻罐和重罐)。BCI平均检测水平为0.51 (0.45;0.54) (max = 0.70)。在大多数脑电图记录中,无论是在完整的还是受损的大脑半球,都检测到了mu节律源。观察到与运动意象相关的mu节律不同步,显著影响BCI的准确性。结果表明,bci -外骨骼复合物的使用有效地补充了CP儿童的标准康复方法,并提示其在CP个体中的临床有效性可以通过更多患者的入组来证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rehabilitation of patients with cerebral palsy using hand exoskeleton controlled by brain-computer interface
Cerebral palsy (CP) is one of the most severe central nervous system diseases in childhood associated with motor impairment. The study was aimed to assess the efficiency of the complex comprising brain-computer interface (BCI) and hand exoskeleton as an instrument for the motor function recovery in patients with CP complementing the essential therapy. The Fugl-Meyer Assessment scale, ARAT test and Jebsen–Taylor function test were used in 14 children and adolescents for the motor function improvement assessment after the therapy complemented by 7–10 BCI-exoskeleton based procedures. The EEG mu-rhythm sources properties during the motor imagery BCI control were studied. After the procedures completion, the significant improvement of the Fugl-Meyer Assessment scale score (7 (2; 11) for hand active movements; 4.5 (1; 6) for proximal arm and 2.5 (0; 5) for hand), ARAT test score (7.5 (1; 31) for total score, 1.5 (0; 12) for grasp movement and 1.5 (0; 8) for grip movement), as well as significantly different from the zero execution time reduction in three out of seven Jabsen–Taylor function test items (–1 (–4.13; 0.25) for simulated feeding; –1 (–2; 0) for moving light and heavy cans) were identified. The average BCI detection level was 0.51 (0.45; 0.54) (max = 0.70). In most EEG recordings the mu-rhythm sources were detected, both for intact and affected hemispheres. The mu-rhythm desynchronization associated with motor imagery was observed, significantly affecting the BCI accuracy. The results obtained indicate that the use of BCI-exoskeleton complex effectively complements the standard rehabilitation methods for children with CP, and suggest that its clinical effectiveness in individuals with CP may be proven by enrollment of more patients.
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