| The human-computer interactive technology based on bioelectricity is currently the frontier of the teleoperation systems and human-computer interaction.Aiming at the key issues of the human-computer technology based on biolelectricity, namely the picking up and analysis of bioelectricty signal, we do the research with academically significance and application possibilities of human-computer interactive technology based on electromyography(EMG).Both the new software and hardware design method and the applications of the experimental system are proposed in the thesis.Aiming at the complex characteristics of electromyography(EMG) in the background with strong noises, a new circuit is designed to pick up the EMG. We used techniques of positive driving, isolated amplification and digital filter and so on skilledly on this experimental hardware platform. This circuit is with small volume, high signal-to-noise ratio(SNR), high filtering precision against 50Hz interference, good stability. Based on the idea of virtual instrument designation, the software embeded in the experimental platform based on PCI DAQ card and its 32 bit DLL was implemented by using advanced programming skills such as multithread synchronization, Active X, message pump and so on under VC++6.0 development environment. It avoids the common problems of interruption conflict, panel clumsiness, and deficiency of openness and versatility in signal collecting software. Many experiments was done in this platform by several subjects. The reliability and stability of platform were testified by these experiments and the analysis of experimental data.The platform is with strong noise proof features and the SNR is high to 60dB. The EMG can be picked up steadily, displayed in real time, stored vastly and analysised complicatiedly on the platform. The platform is not only with high openness and versatility by interface with other software such as MatLab, but also with good standardization in the software design. |
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