| Numerous active units disseminate the series of electrical potentials of active unit motion when they are excited. These series of electrical potentials spread along fibre and are filtered by the volume conductor which is made of skin and fattiness. And the electrode detector set on the surface of skin finally picks up these series of electrical potentials. The signals which are got by the electrode detector both in time and space compose the SEMG.At first, we have compared the information sources of human-machine intelligent system-artificial hand control and have found that the SEMG is better than other information sources of human-machine intelligent system control.We have analyzed the creation mechanism of SEMG, and have studied the analysis methods and common modeling methods of SEMG.Based on this, we have developed the processing electrical circuit of SEMG, including of preamplifier module which is made by instrumental amplifier INA128 , band-pass filter module and 50Hz-shielded module. And we have built a signal acquisition system with the data acquisition card PCI9111 and the virtual instrument software LabVIEW. With this system we have analyzed the SEMG of upper limbs. The research results indicate that SEMG can be built to a math model as a gauss course with zero mean value and controllable variance σ~2.Finally we made the SEMG as the information source of human-machine intelligent system-artificial hand control, and have developed the prototype artificial hand which is driven by step motor. The artificial hand integrated a set of tactile sensors is controlled by MPU ATmega8.In the experiment, we adopt the threshold control method ,using the variance of SEMG as the control information to control the artificial hand. We designed some experiment to complete the easy function of the artificial hand, we have actualized the control of the artificial hand based on human's consciousness. We have made the foundation for SEMG's using on more human-machine intelligent system. |
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