Yi Jinhua, Yu Hongliu, Li Panpan, Zhao Shengnan
Institute of Biomechanics and Rehabilitation Engineering, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Feb;30(1):39-44.
The control of prosthetic hand is always a focus in prosthesis research. For solving current problems of controlling signals of skin surface electrical signals, we applied force myography (FMG) signals in prosthetic control of this system. The control system based on FMG signals were designed, containing signal acquisition and pre-processing, prosthetic control, motor driving and so on. Two-freedom artificial hand with proportional control was proposed through acquiring two-channel FMG signals from the amputee stump. The proportional control of prosthetic hand was achieved according to the average of FMG amplitude. The results showed that the control system had a great potential to control artificial hand and to realize speed adjustment effectively. Besides, the Virtual instrument software LabVIEW is adopted to establish the FMG signal collection and calibration of experiment system.
假肢的控制一直是假肢研究的重点。为了解决当前皮肤表面电信号控制信号的问题，我们将力肌电图（FMG）信号应用于该系统的假肢控制中。设计了基于FMG信号的控制系统，包括信号采集与预处理、假肢控制、电机驱动等。通过从截肢残端采集两路FMG信号，提出了具有比例控制的两自由度人工手。根据FMG幅度的平均值实现了假肢手的比例控制。结果表明，该控制系统在控制人工手和有效实现速度调节方面具有很大潜力。此外，采用虚拟仪器软件LabVIEW建立了FMG信号采集与实验系统校准。
