Study And Implementation On Brain-computer Interface Visual Stimulator Based On Motor Imagery

BCI (Brain-Computer Interface, BCI) is a communication system that doesn't depend on the brain's normal output pathways of peripheral nerves and muscles. It is through the collection and analysis of EEG information in the human brain with computers or other electronic devices to establish direct communication or control channel. It has received wide attention, that people through the imagination rather than through the words to express the will or through body movements to operate the device. At the same time, mental illness, neurological disease, is serious threat to modern people's health, including the severe motor dysfunction caused by nervous system damage which is led to by accident. Many patients lose the ability to communicate with the outside world, to their enormous physical and psychological suffering. In recent years, brain-computer interface technology research in the field of rehabilitation engineering has made remarkable achievements, despite the current BCI performance of the system stability, accuracy and identification rate and other key communications technologies also need to address and improve.A complete real-time BCI system includes three parts, input, output and signal processing. Input means the collection of EEG singnal; the output is the peripheral control commands and feedback; the signal processing includes a method/algorithm for decoding the signals and a methodology for mapping this decoding to a behavior or action. This article mainly focused on the first part that how to generate the tester's EEG singnal carrying volitional control. In modern rehabilitation medical theory, motor imagery combined with exercise therapy on stroke patients relearning achieved good results. Inspired by the above, as the left and right hand movement can produce brain electrical signals, this paper uses three-dimensional character to simulate the actions of therapists in order to stimulate the production of brain electrical signals. By enhancing the experience of patients, it's in order to expect better and stronger EEG.Based on the above theories and studies, this paper combines three application areas, BCI, moto imagery and rehabilitation engineering, research and realization of brain-computer interface based on three-dimensional visual stimulator system studies include: design and implementation of visual stimulator, parallel data transmission of collection signal, brain-computer interface experiments.Three-dimensional stimulus program implementation is the focus of the system. This article uses OpenSceneGraph open source engine that built a three-dimensional scene graphical environment, and will establish a good stand-alone animated external model into it. The scene graph environment is embedded in the Visual C #. Net developing environment. Using the Dynamic Link Library Technology shares data in memory to control the parameters to achieve a variety of training tasks and applications. Experimental results show that the stimulator could well indentify the difference between left and right hand movement mental task. It has a strong sense of realism and immersion. Finally, real-time brain-computer interface for further study are pointed out.