http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Shigeto Nishida (검색결과 8 건)
- 무료
- 기관 내 무료
- 유료
-
-
-
Shigeto Nishida,Takenao Sugi,Akio Ikeda,Takashi Nagamine,Hiroshi Shibasaki,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the time domain. The slow burst was detected by using pole of AR model in the frequency domain. The proposed method was applied for the photic evoked EEG data containing spikes and slow burst, and brought satisfactory coincidence with the results interpreted by a qualified electroencephalographer.
-
-
-
-
-
Automatic Judgment of Open/Closed Eye States for Accurate Interpretation of Awake Background EEG
Ayon Kumar Das,Takenao Sugi,Yoshitaka Matsuda,Satoru Goto,Shigeto Nishida,Kei sato,Keiko Usui,Takefumi Hitomi,Masao Matsuhashi,Akio Ikeda,Takashi Nagamine,Hiroshi Shibasaki 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
Automatic judgment of open/closed eye states from the awake background electroencephalogram (EEG) recording has been always in a high demand for neurological signal analysis and plays an important role for posterior dominant rhythm (PDR) analysis. PDR appears predominantly in occipital lobes and contains significant information for interpreting fundamental brain dysfunctions. The aim of this research is to develop a system that can properly differentiate between open and closed eye states, so that some specific segments can be chosen for PDR analysis that appears just after eye open/close. In this proposed method, a computer assisted automatic system for eye-opening/closing detection from awake background EEG has been developed. EEG data that was visually inspected by a qualified electroencephalographer (EEGer) was taken into account for separating open and closed eye states by creating parameters for each states. Later using those parameters and conditions, new equations were developed and implemented for accurate detection of open/closed eye. Based on the automatic detection result, some specific segments that appears just after eye open/close will be selected for PDR analysis. Organization, frequency, amplitude and their asymmetry these characteristics will be taken into account for PDR analysis.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
