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Motor impairment evaluation for upper limb in stroke patients on the basis of a microsensor

机译:基于微传感器的中风患者上肢运动障碍评估

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摘要

There has been an urgent need for an effective and efficient upper limb rehabilitation method for poststroke patients. We present a Micro-Sensor-based Upper Limb rehabilitation System for poststroke patients. The wearable motion capture units are attached to upper limb segments embedded in the fabric of garments. The body segment orientation relative to the reference frame is computed by fusion of the sensory data, and the upper limb trajectory and movement parameters are obtained. Using the micro-Sensor-based Upper Limb rehabilitation System, the clinical Active Range of Motion scale can be measured automatically; a set of novel quantitative measures, referred to as motor feature indices, are obtained to evaluate the quality of the movement. Experimental results show that the proposed motor feature indices reflect the real motor impairment status very well, providing objective measurements of a patient's functional recovery status in the rehabilitation process.
机译:迫切需要一种有效且有效的中风后患者上肢康复方法。我们提出了一种基于微传感器的中风后上肢康复系统。可穿戴式运动捕捉单元连接到嵌入在服装面料中的上肢部分。通过感官数据的融合来计算相对于参考系的身体节段取向,并且获得上肢轨迹和运动参数。使用基于微传感器的上肢康复系统,可以自动测量临床活动活动范围标度;获得了一套新颖的定量测量方法,称为运动特征指标,以评估运动的质量。实验结果表明,所提出的运动特征指标很好地反映了真实的运动障碍状态,从而为患者在康复过程中的功能恢复状态提供了客观的度量。

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