Research On The FES System For The Disabled Person Based On The BCI

Brain-computer interface (BCI) is a novel way of human computer interface which has been explored since last decade. Without depending on brain's normal output channels of peripheral nerves and muscles, BCIs give their users communication and controls through computer based system. Current interests in BCI development come mainly from the expectation that this technology would be a new and valuable augmentative communication option for people with severe motor disabilities that prevent them from using conventional augmentative technologies. To those persons who are out of the nerves control, we use FES to generate electrical stimulation and make use of the nerve cells'response to these stimulations to transfer our artificial controlling signals. Through the stimulation of adscititious electrical current, nerve cells are supposed to generate a nerve impulse that is the same as the one induced by natural inspiration. Then the nerve impulse contracts the corresponding muscle fibers which finally generates expected movement.Experimental study has been carried out based on the brain-computer interface to develop the FES system for the disabled person. For the first time, this work combines BCI and FES and designs a whole system: Converting brain's ERD/ERS generated when imagining limb movement to FES controlling signals which control the FES system to give limb an ordered, selective and dynamic stimulation. Meanwhile the accompanying movement and sense information in this process is feed back to brain through the intact peripheral never channels, which in turn stimulates the injured nerve center, speed up the recovering process and improved the recovering quality essentially.The intelligentized FES instrument is designed based on principles of electrical stimulation, including modern microchip technology, integration technology and module software. The core of the instrument is made of MCU ADuC832 and CPLD EPM7160S. It is designed for complete digital control of all parameters with LCD displaying. The parameters according to the different response of the different muscles to electrical stimulation can be easily changed and saved. This study introduces the mechanism of the FES instrument in details.At the end, we conduct real FES stimulation experiments based on the classification results of EEG signals. The correctness ration of EEG signal classification is 90% and our FES system can stimulate the upper limb to complete given movements according to the corresponding controlling signals, which proves the feasibility and effectiveness of the whole system. This kind of system will be a promising technique for nerve function disability recovering and also provide earlier exploration for future clinical use.