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      뇌전증 경련 억제를 위한 실시간 폐루프 신경 자극 시스템 설계 = Development of Real-time Closed-loop Neurostimulation System for Epileptic Seizure Suppression

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      https://www.riss.kr/link?id=A102112481

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      다국어 초록 (Multilingual 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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      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 stimul...

      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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      참고문헌 (Reference)

      1 T. Kang, "Wireless Controlled Fully Implantable Neural Stimulation System Using Zigbee Protocol" 375-377, 2012

      2 I. Osorio, "Real-Time Automated Detection and Quantitative Analysis of Seizures and Short-Term Prediction of Clinical Onset" 39 (39): 615-627, 1998

      3 L. Liu, "Neural Recording Front-End IC Using Action Potential Detection and Analog Buffer with Digital Delay for Data Compression" 747-750, 2013

      4 S.Y. Hwang, "Low Cost Multilayered Depth-type Neural Probe Based on Liquid Crystal Polymer" 2012

      5 H. Miranda, "HermesD: A High-Rate Long-Range Wireless Transmission System for Simultaneous Multichannel Neural Recording Applications" 4 (4): 181-191, 2010

      6 X. Liu, "Epileptic Seizure Detection With the Local Field Potential of Anterior Thalamic of Rats Aiming at Real Time Application" 6781-6784, 2011

      7 Y. M. Shon, "Deep Brain Stimulation for the Treatment of Medically Intractable Epilepsy: A Review on Clinical Application" 16 (16): 9-13, 2012

      8 C. C. Jouny, "Characterization of Early Partial Seizure Onset: Frequency, Complexity and Entropy" 123 : 658-669, 2012

      9 S. K. Lee, "Antiepileptic Drugs" 50 (50): 645-651, 2007

      10 M. T. Salam, "A Low-power Implantable Device for Epileptic Seizure Detection and Neeurostimaulation" 154-157, 2010

      1 T. Kang, "Wireless Controlled Fully Implantable Neural Stimulation System Using Zigbee Protocol" 375-377, 2012

      2 I. Osorio, "Real-Time Automated Detection and Quantitative Analysis of Seizures and Short-Term Prediction of Clinical Onset" 39 (39): 615-627, 1998

      3 L. Liu, "Neural Recording Front-End IC Using Action Potential Detection and Analog Buffer with Digital Delay for Data Compression" 747-750, 2013

      4 S.Y. Hwang, "Low Cost Multilayered Depth-type Neural Probe Based on Liquid Crystal Polymer" 2012

      5 H. Miranda, "HermesD: A High-Rate Long-Range Wireless Transmission System for Simultaneous Multichannel Neural Recording Applications" 4 (4): 181-191, 2010

      6 X. Liu, "Epileptic Seizure Detection With the Local Field Potential of Anterior Thalamic of Rats Aiming at Real Time Application" 6781-6784, 2011

      7 Y. M. Shon, "Deep Brain Stimulation for the Treatment of Medically Intractable Epilepsy: A Review on Clinical Application" 16 (16): 9-13, 2012

      8 C. C. Jouny, "Characterization of Early Partial Seizure Onset: Frequency, Complexity and Entropy" 123 : 658-669, 2012

      9 S. K. Lee, "Antiepileptic Drugs" 50 (50): 645-651, 2007

      10 M. T. Salam, "A Low-power Implantable Device for Epileptic Seizure Detection and Neeurostimaulation" 154-157, 2010

      11 S. Raghunathan, "A Hardware-algorithm Co-design Approach to Optimize Seizure Detection Algorithms for Implantable Applications" 193 : 106-117, 2010

      12 C. Y. Wu, "A CMOS Power-Efcient Low-Noise Current-Mode Front-End Amplier for Neural Signal Recording" 7 (7): 107-114, 2013

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2017-12-01 평가 등재후보로 하락 (계속평가) KCI등재후보
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-10-06 학술지명변경 외국어명 : 미등록 -> Joural of Biomedical Engineering Research KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      1999-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.08 0.08 0.12
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.11 0.09 0.307 0.04
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