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TMS-induced EEG Artifacts Removal Methods based on Cross-Correlation Coefficients of ICA Components
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- 발행기관
- 보안공학연구지원센터(IJBSBT) 바로가기
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- 간행물
- International Journal of Bio-Science and Bio-Technology SCOPUS 바로가기
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- 통권
- Vol.5 No.5 (2013.10)바로가기
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- 페이지
- pp.161-170
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A205333
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- In this study a noble TMS-induced artifact removal method is developed and discussed by estimating its parameters for various aspects of data, such as sampling rate, filtering order and ICA decomposition method, in both the EEG time series and in the independent components of the EEG by using the EEG data obtained from four healthy subjects who were receiving single pulse TMS-EEG and sham-EEG stimulus on the left Broca’s area. A total of four healthy male subjects without any neurological disorder were selected in this study. ICA filters trained on the reduced version of 60 channel EEG data collected during single pulse TMS-EEG and sham-EEG recordings and identified the reduced number of statistically independent source channels. The decomposition algorithm of ICA considered in this study includes Jader , FastICA and cICA. The ICA components originating from the TMS-induced artifact are classified by comparing the cross-correlation coefficients between single pulse TMS-EEG and sham-EEG stimulus after ICA decomposition. Then, the estimation of parameters in the TMS-induced artifact removal for sampling rate 1.45kHz, filtering order 100 and ICA decomposition method FastICA was evaluated by the change of the ratio of the cross-correlation coefficients between single pulse TMS-EEG and sham-EEG stimulus before and after the ICA decomposition. The results showed the consistency in the assessment of the availability of the TMS-induced artifact removal suggesting the efficiency and the reliability of the method developed in this study.
목차
Abstract
1. Introduction
2. Methods
2.1. Subjects
2.2. TMS-EEG and sham-EEG
2.3. Sampling Rate
2.4. Filtering Order
2.5. Independent Component Analysis
2.6. TMS-induced Artifacts Removal Method
3. Results and Discussions
4. Conclusions
Acknowledgements
References
키워드
TMS-EEG Independent Component Analysis TMS-induced artifacts저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Bio-Science and Bio-Technology
- 간기
- 격월간
- pISSN
- 2233-7849
- 수록기간
- 2009~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.5 No.5
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