Detection System Design of the Glenohumeral Joint Motion Information

Jianfeng Li, Chunzhao Zhang, Qiang Cao
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Abstract

: Due to the complex coupled motion of shoulder mechanism, design the guiding movement rule of rehabilitation robot generally lack of the glenohumeral (GH) joint motion information. This study focused on development detection system design of the GH joint motion information. In this paper, the detection system incorporates the detection mechanism and measurement system. Design of the detection mechanism includes model of the shoulder complex, configuration as well as structure design of the detection mechanism. Design of the measurement system includes hardware selection and software development. Straight after, detection system was integrated. Then, test and analysis was presented. The results show the detection system can measure and present the GH joint motion information in real time. It provides a method to obtain the movement information of the GH joint, and has practical significance for shoulder function simulation and ergonomics.
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盂肱关节运动信息检测系统设计
由于肩部机构耦合运动复杂,设计康复机器人引导运动规则时普遍缺乏肩关节运动信息。本研究的重点是GH关节运动信息的开发检测系统设计。本文的检测系统由检测机构和测量系统组成。检测机构的设计包括肩部复合体的模型设计、检测机构的外形设计和结构设计。测量系统的设计包括硬件选型和软件开发。随后,对检测系统进行了集成。然后进行了测试和分析。实验结果表明,该检测系统能够实时测量并呈现GH关节的运动信息。提供了一种获取GH关节运动信息的方法,对肩关节功能仿真和工效学具有实际意义。
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