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基于脑近红外光谱信号的双上肢协调训练系统评估

Evaluation of a bimanual-coordinated upper-limbs training system based on the near infrared spectroscopic signals on brain.

作者信息

Li Chunguang, Liu Tao, Inoue Yoshio, Shibata Kyoko

机构信息

Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, 185 Miyanokuchi, Tosayamada-Cho, Kami-City, 782-8502, Japan.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6625-8. doi: 10.1109/IEMBS.2010.5627143.

Abstract

Various rehabilitation systems have been developed to deliver therapy for hemiplegic patients. Fugl- Meyer scale and Motor Power Score were common used methods to evaluate training effect and validate the developed systems. However, these assessments were involved with some inevitable subjective factors of therapists. In order to objectively evaluate the effect of a bimanual training that performed with a novel self-controlled system, this paper carried out assessment based on cerebral activation and motion-tracking precision. Four healthy subjects coordinated the forces of two arms and performed motion tracking training in active-assisted and active-resisted modes. After training, movement performance was enhanced and the brain became more active with an increased cerebral activation. Experimental results verified the positive training effect of the new system and the correlation between the cerebral cortical activation and motion capability.

摘要

已经开发了各种康复系统来为偏瘫患者提供治疗。Fugl-Meyer量表和运动力量评分是评估训练效果和验证所开发系统的常用方法。然而,这些评估涉及治疗师一些不可避免的主观因素。为了客观评估使用新型自控系统进行的双手训练的效果,本文基于大脑激活和运动跟踪精度进行了评估。四名健康受试者协调双臂力量,并在主动辅助和主动抗阻模式下进行运动跟踪训练。训练后,运动表现得到提高,大脑随着大脑激活增加而变得更加活跃。实验结果验证了新系统的积极训练效果以及大脑皮层激活与运动能力之间的相关性。

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