In recent years, BCI (brain-computer-interface) gets a rapid development in the brain research area. It is a normal pathways which is independent on the brain (the central nervous system of the brain-Peripheral nerve-skeleton muscle). It can realize the control and communication between the human brain and a computer or other peripheral equipment only by EEG signals. A BCI system is intended to help severely disabled people with normal brain-thinking to communicate with computers or control electronic devices through their thoughts. FES (Functional electrical stimulation) is a rehabilitation therapy techniques,by means of electrical stimulation, using the exact stimulus sequence and stimulus intensity to activate paralysis muscle of the limbs , making patients with paralysis of the limbs have some motor function.In this paper,for the hemiplegia patient with movement disorders,I have done some study about stroke rehabilitation system which were based on brain-computer interface technology and functional electrical stimulation . This study combined with BCI and FES, making a whole system design:making the event-related synchronized potentials made by the limb motor imagery of the brain, and event-related synchronize electric potential information. Using that information as control command to control FES stimulate the body , and ultimately completing some effect of rehabilitation, making limb able to complete a particular action.The research projects focus on: studying some basic knowledge about brain-computer interface technology, doing some signal processing about the EEG signal, achieving the preprocess of EEG signal, and making feature extraction and classification of motor imagery information.Its'achievement as a result of the theory of the functional electrical stimulation , using the modern microprocessor technology of ARM, and using embeddedμC/OS-Ⅱoperating system as a functional electrical stimulation system's software development platform, simplifying the software development process by writing the system task. The electrical stimulation system uses STM32F103ZCT6 as the core controller, and employs display design with color LCD screen.The determinant of stimulation parameter and the control of the stimulation channel can be achieved through the key. The stimulation parameters that could be adjusted are time, stimulation frequency, and duty cycle. In online mode, you can communicate with the host computer through the USB to accept control commands,then control the stimulus chanel. In addition, we also carried out some studies about the collection of EEG signal, and designed a simple EEG acquisition module.In laboratory studies,it indicates that FES system can stimulate the limb achieve movements under the control command.That declare the the feasibility of the design of stroke rehabilitation by combining brain-computer interface technology with the FES system. |