Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Development of Real-time Closed-loop Neurostimulation System for Epileptic Seizure Suppression

뇌전증 경련 억제를 위한 실시간 폐루프 신경 자극 시스템 설계

  • Kim, Sowon (Department of Electronics Engineering, Ewha Womans University) ;
  • Kim, Sunhee (Department of Electronics Engineering, Ewha Womans University) ;
  • Lee, Yena (Department of Electronics Engineering, Ewha Womans University) ;
  • Hwang, Seoyoung (Department of Electronics Engineering, Ewha Womans University) ;
  • Kang, Taekyeong (Department of Electronics Engineering, Ewha Womans University) ;
  • Jun, Sang Beom (Department of Electronics Engineering, Ewha Womans University) ;
  • Lee, Hyang Woon (Department of Neurology, Ewha Medical Center, Ewha Womans University) ;
  • Lee, Seungjun (Department of Electronics Engineering, Ewha Womans University)
  • 김소원 (이화여자대학교 전자공학과) ;
  • 김선희 (이화여자대학교 전자공학과) ;
  • 이예나 (이화여자대학교 전자공학과) ;
  • 황서영 (이화여자대학교 전자공학과) ;
  • 강태경 (이화여자대학교 전자공학과) ;
  • 전상범 (이화여자대학교 전자공학과) ;
  • 이향운 (이화여자대학교 의과대학 신경과) ;
  • 이승준 (이화여자대학교 전자공학과)
  • Received : 2015.07.13
  • Accepted : 2015.08.23
  • Published : 2015.08.30
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Abstract

Epilepsy is a chronic neurological disease which produces repeated seizures. Over 30% of epileptic patients cannot be treated with anti-epileptic drugs, and surgical resection may cause loss of brain functions. Seizure suppression by electrical stimulation is currently being investigated as a new treatment method as clinical evidence has shown that electrical stimulation to brain could suppress seizure activity. In this paper, design of a real-time closed-loop neurostimulation system for epileptic seizure suppression is presented. The system records neural signals, detects seizures and delivers electrical stimulation. The system consists of a 6-channel electrode, front-end amplifiers, a data acquisition board by National Instruments, and a neurostimulator and Generic Osorio-Frei algorithm was applied for seizure detection. The algorithm was verified through simulation using electroencephalogram data, and the operation of whole system was verified through simulation and in- vivo test.

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References

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