Supplementary Data of Comparison of Lower Arm Weight and Passive Elbow Joint Impedance Compensation Strategies in Non-Disabled Participants

Data of the paper Comparison of Lower Arm Weight and Passive Elbow Joint Impedance Compensation Strategies in Non-Disabled Participants. The data contains EMG of the m. Biceps Brachii and m. Triceps Brachii, the elbow joint angle, elbow joint torque, and force/torque sensor data. The data was recorded in 12 healthy male participants on two days. On the first day (session 1), the passive forces in the arm were measured while an elbow actuator moved the forearm through flexion and extension (approximately 80% of the elbow's range of motion). On the second day (session 2), the participants were asked to follow a sine signal with their elbow joint angle on a computer screen while the actuator provided randomized different strategies for weight compensation of the arm alone or weight and elbow joint impedance compensation. A more detailed description of the protocol can be found in the original paper.The data is accompanied by the processing and analysis scripts created in Matlab R2021b.

本数据集源自论文《无残疾受试者前臂重量与被动肘关节阻抗补偿策略对比研究》。该数据集包含肱二头肌（m. Biceps Brachii）与肱三头肌（m. Triceps Brachii）的肌电(EMG)信号、肘关节角度、肘关节扭矩以及力/扭矩传感器数据。数据采集自12名健康男性受试者，分两日开展两轮实验。首轮实验（阶段1）中，当肘关节驱动装置带动前臂完成屈伸运动（约覆盖肘关节80%的活动范围）时，同步采集手臂的被动受力数据。次轮实验（阶段2）中，受试者需根据电脑屏幕显示的正弦信号调整肘关节角度以跟随该信号，与此同时驱动装置将随机切换两种补偿策略：仅对手臂重量进行补偿，或同时对手臂重量与肘关节阻抗进行补偿。实验流程的详细说明可参阅原论文。该数据集附带使用Matlab R2021b编写的处理与分析脚本。