Research Of Active Rehabilitation System For The Stroke

Nowadays, the incidence of stroke and morbidity is improving continuously. It hasbecome a serious threat to our human health. The technology of Functional ElectricalStimulation is using low frequency electrical stimulation to stimulate the correspondingmuscle, through the nerve cell response to transmit the restraining signal. It could makenerve and muscle contract and complete movement. In recent years, it has become one ofthe widely used means in the rehabilitation training of stroke patients. Brain computerinterface has been proved to be a potential method to link the brain and the outwardenvironment directly. It showed the great perspective to help especially hemiplegic peopleto regain or recover their ability to communicate and control.This paper aimed to develop an active rehabilitation system for stroke hemiplegicpatients. We complete the design of the whole rehabilitation system by synthesizing thecharacteristics of BCI and FES, and combining them. The rehabilitation system mainlyincludes the collection of EEG signals, the processing about that EEG signal and thedesign of FES system. When we do imagine left hand or right hand movement, it canproduce ERS/ERD information. This system could convert that information into controlcommand. Then transfer the command to FES system. Then it carries on thecorresponding electrical stimulation for the damaged body. The system can avoid thepatients’ bodies damaged neural pathways, patients’ will of movement could be transferredto the functional electrical stimulation system directly. It could help the hemiplegicpatients to control the damaged body directly.The main content of this article contains two aspects. Firstly, on the basis of BCItechnology, we use the method of second order moment estimation to analyze the featureof C3and C4EEG. We established a kind of movement imagine classification method.This way is not only simple but also can be online operation. We choose different timewindow length and time, the results show that all the correct recognition rates are morethan85%. And the results show that the method can accurately realize the classification ofsports consciousness. Secondly, on the basis of FES technology, we use the modular design thought finished the hardware and software design of functional electricalstimulation system. This stimulation system uses STM8S208MB as the core, through theserial interface module connected with BCI, combined with the keyboard and LCDmodule. It could complete the setting and display the corresponding numerical about thesystem parameter, such as stimulation time, frequency.The experimental results show that functional electrical stimulation system canstimulate body accurately according to the BCI control command. That certifies theresearch which applied BCI and FES to the study of active rehabilitation system for strokeis completely possible. And it plays a certain role to explore for the therapy of strokerehabilitation.