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ZigBee를 이용한 뇌졸중 환자용 뇌자극기 개발과 PC기반 자극 제어용 사용자 인터페이스 개발
김국화(G. H. Kim),양윤석(Y. S Yang),이상민(S. M Lee),김남균(N. G Kim) 대한전기학회 2006 정보 및 제어 심포지엄 논문집 Vol.2006 No.1
We studied the prototypal developments of Plastic Cortex Stimulator (PCS) for stroke patients. The PC sends the stimulation parameters (amplitude, pulse width, cycle, etc.) to the transmitter ZigBee module through serial port. The receiver ZigBee module generates stimulation waveform. The generated output can be controlled by the PC program. Further study can be expanded to portable handset such as PDA using ZigBee. The wireless control of PCS with the handset can help the tele-rehabilitation.
ZigBee를 이용한 뇌졸중 치료용 무선 전기 자극기 개발
김국화,유문호,신용일,김형일,김남균,양윤석,Kim, G.H.,Ryu, M.H.,Shin, Y.I.,Kim, H.I.,Kim, N.G.,Yang, Y.S. 대한의용생체공학회 2007 의공학회지 Vol.28 No.1
Stroke is the second most significant disease leading to death in Korea. The conventional therapeutic approach is mainly based on physical training, however, it usually provides the limited degree of recovery of the normal brain function. The electric stimulation therapy is a novel and candidate approach with high potential for stroke recovery. The feasibility was validated by preliminary rat experiments in which the motor function was recovered up to 80% of the normal performance level. It is thought to improve the neural plasticity of the nerve tissues around the diseased area in the stroked brain. However, there are not so much research achievements in the electric stimulation for stroke recovery as for the Parkinson's disease or Epilepsy. This study aims at the developments of a wireless variable pulse generator using ZigBee communication for future implantation into human brain. ZigBee is widely used in wireless personal area network (WPAN) and home network applications due to its low power consumption and simplicity. The developed wireless pulse generator controlled by ZigBee can generate various electric stimulations without any distortion. The electric stimulation includes monophasic and biphasic pulse with the variation of shape parameters, which can affect the level of recovery. The developed system can be used for the telerehabilitation of stroke patient by remote control of brain stimulation via ZigBee and internet. Furthermore, the ZigBee connection used in this study provides the potential neural signal transmission method for the Brain-Machine Interface (BMI).