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Development of Wireless Neuro-Modulation System for Stroke Recovery Using ZigBee Technology

ZigBee를 이용한 뇌졸중 치료용 무선 전기 자극기 개발

  • Kim, G.H. (Department of Biomedical Engineering, Chonbuk National Univ.) ;
  • Ryu, M.H. (Division of Bionics and Bioinformatics, Chonbuk National Univ.) ;
  • Shin, Y.I. (Dept. of rehabilitation, Wongwang Univ.) ;
  • Kim, H.I. (Neurosurgery, Jeon-Ju Jesus Hospital) ;
  • Kim, N.G. (Division of Bionics and Bioinformatics, Chonbuk National Univ.) ;
  • Yang, Y.S. (Division of Bionics and Bioinformatics, Chonbuk National Univ.)
  • 김국화 (전북대학교 대학원 의용생체공학과) ;
  • 유문호 (전북대학교 생체정보공학부) ;
  • 신용일 (원광대학교 의과대학 재활의학과) ;
  • 김형일 (전주 예수병원 신경외과) ;
  • 김남균 (전북대학교 생체정보공학부) ;
  • 양윤석 (전북대학교 생체정보공학부)
  • Published : 2007.02.28

Abstract

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).

Keywords

References

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