He Zixin, Liu Haiping, Liu Qingsheng, Jiang Yu, Zhu Zhu
School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China.
Shunde Graduate School, University of Science and Technology Beijing, Foshan, Guangdong 528300, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Aug 25;42(4):790-798. doi: 10.7507/1001-5515.202412025.
In order to characterize the characteristics of pathological tremor of human upper limb, a simulation system of pathological tremor of human arm was provided and its dynamic response was analyzed. Firstly, in this study, a two-degree-of-freedom human arm dynamic model was established and linearized according to the arbitrary initial angle of joints. After solving the analytical solutions of steady-state responses of the joints, the numerical solution was used to verify it. The results of theoretical analysis show that the two natural frequencies of the developed dynamic model are 2.9 Hz and 5.4 Hz, respectively, which meet the characteristic frequency range of pathological tremors. Then, combined with the measured parameters of human arm, a tremor simulation system was built, and the measured results of joint responses are in good agreement with the theoretical and simulation analysis results, which verifies the effectiveness of the theoretical model. The results show that the human arm pathological tremor simulation system designed in this paper can characterize the frequency and response amplitude of the human upper limb pathological tremor. Moreover, the relevant research lays a theoretical foundation and experimental conditions for the subsequent development of wearable tremor suppression devices.
为了表征人体上肢病理性震颤的特征,提供了一种人体手臂病理性震颤模拟系统并分析了其动态响应。首先,在本研究中,建立了一个两自由度人体手臂动力学模型,并根据关节的任意初始角度进行线性化。求解关节稳态响应的解析解后,用数值解进行验证。理论分析结果表明,所建立的动力学模型的两个固有频率分别为2.9Hz和5.4Hz,符合病理性震颤的特征频率范围。然后,结合人体手臂的测量参数,构建了一个震颤模拟系统,关节响应的测量结果与理论和模拟分析结果吻合良好,验证了理论模型的有效性。结果表明,本文设计的人体手臂病理性震颤模拟系统能够表征人体上肢病理性震颤的频率和响应幅度。此外,相关研究为后续可穿戴震颤抑制装置的开发奠定了理论基础和实验条件。