Upper limb redundancy resolution under gravitational loading conditions: Arm postural stability index based on dynamic manipulability analysis

Yang Shen, Brandon Po-Yun Hsiao, Ji Ma, J. Rosen
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引用次数: 7

Abstract

Resistance training may be considered as one promising approach for improving the motor capabilities of post-stroke patients. A successful introduction of this depends on the proper resolution of human arm redundancy under gravitational loading. The spatially heterogeneous changes of the human arm swivel angle (which represents the upper limb redundancy) are studied under different loading conditions, the effects of which are incorporated into a modified dynamic manipulability ellipsoid model. A new scalar index describing the arm postural stability (APSI) is then proposed. As part of the experimental protocol, ten (10) healthy subjects performed multiple reaching tasks with different weights mounted on the forearm. Kinematic data was collected via a ten-camera motion capture system and the corresponding APSI was calculated for each task. APSI is found to have a strong linear correlation with the swivel angle under loading conditions. Furthermore, the data suggest that the swivel angle may serve as an indicator of arm postural stability and task difficulty. The results of additional experiments conducted with three (3) subjects indicate that the external loads could deteriorate the arm's control performance in tasks like line tracing (root mean square deviation from straight lines). These findings may be applicable to robot-based (exoskeleton) resistance therapy, assist-as-needed gravity compensation, and human-like motion control of humanoid robotic systems.
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重力载荷条件下上肢冗余度分辨率:基于动态可操纵性分析的臂位稳定性指标
抗阻训练被认为是改善脑卒中后患者运动能力的一种很有前途的方法。成功地引入这一点取决于重力载荷下人体手臂冗余的适当分辨率。研究了不同载荷条件下人体手臂旋转角度(代表上肢冗余度)的空间异质性变化,并将其影响纳入改进的动态可操作性椭球模型。提出了一种新的描述手臂姿态稳定性的标量指标。作为实验方案的一部分,十(10)名健康受试者在前臂上施加不同重量,完成多项伸手任务。通过一个十摄像头运动捕捉系统收集运动学数据,并计算每个任务对应的APSI。在加载条件下,APSI与旋转角度有很强的线性相关性。此外,数据表明旋转角度可以作为手臂姿势稳定性和任务难度的指标。另外对三(3)名受试者进行的实验结果表明,外部负载会降低手臂在直线追踪(直线的均方根偏差)等任务中的控制性能。这些发现可能适用于基于机器人(外骨骼)的阻力治疗,根据需要辅助重力补偿,以及类人机器人系统的类人运动控制。
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