http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
이병채,황선철,이명호,Lee, Byung-Chae,Hwang, Seon-Cheol,Lee, Myoung-Ho 대한의용생체공학회 1990 의공학회지 Vol.11 No.1
In this paper, fast Fourier transform and fast Walsh transform algorithm are studied for ECG data compression. ECG data-12 bit samples digitized at 480 samples-are segmented into QRS complexes and 50 intervals by di%ital derivative filter, which used for detection of QS width and difrerenre compressed in Fourler or welsh domain. And also the existing techniques for data compression-TP, MTP, CORTES, AZTEC, MCORTES, which have not been evaluated with a common measurement of goodness, were processed to get absolute terms of values in the same condition.
Vibrio vulnificus cytolysin의 흰쥐 혈소판 응집 기전
김현철(Hyun Chul Kim),채수완(Soo Wan Chae),이병창(Byung Chang Lee),은재순(Jae Soon Eun) 대한약학회 1999 약학회지 Vol.43 No.6
Vibrio vulnificus cytolysin has been incriminated as one of the important virulence determinants in V. vulnificus infection. In the present study, the effects of Vibrio vulnificus cytolysin on platelets were examined. Vibrio vulnificus cytolysin induced platelet aggregation and increased intracellular calcium concentration ([Ca2+]I) of rat platelets. These effects were abolished in Ca2-free buffer (2mM EGTA). Cytolysin also potentiated ADP- and collagen-induced platelet aggregation. Lanthanum (2mM) inhibited cytolysin-induced platelet aggregation. However, another Ca2+ channel blockers, verapamil (20mcM) or mefenamic acid (20mcM) did not block cytolysin-induced platelet aggregation. Osmotic protectants, sucrose (50mM) and raffinose (50mM) suppressed platelet aggregation by 35.9% and 63.4%, respectively. V. vulnificus cytolysin increased membrane conductances of platelet membranes. These results suggest that cytolysin-induced platelet aggregation is mediated via lanthanum sensitive-calcium influx which resulted from the pore formation by V vulnificus cytolysin.
비선형 반복 패턴과 스펙트럼 분석을 이용한 집중-비집중 분류기의 성능 평가
이지은 ( Jee Eun Lee ),유선국 ( Sun Kook Yoo ),이병채 ( Byung Chae Lee ) 한국감성과학회 2013 감성과학 Vol.16 No.3
Attention is one of important cognitive functions in human affecting on the selectional concentration of relevant events and ignorance of irrelevant events. The discrimination of attentional and inattentional status is the first step to manage human`s attentional capability using computer assisted device. In this paper, we newly combine the non-linear recurrence pattern analysis and spectrum analysis to effectively extract features(total number of 13) from the electroencephalographic signal used in the input to classifiers. The performance of diverse types of attention-inattention classifiers, including supporting vector machine, back-propagation algorithm, linear discrimination, gradient decent, and logistic regression classifiers were evaluated. Among them, the support vector machine classifier shows the best performance with the classification accuracy of 81 %. The use of spectral band feature set alone(accuracy of 76 %) shows better performance than that of non-linear recurrence pattern feature set alone(accuracy of 67 %). The support vector machine classifier with hybrid combination of non-linear and spectral analysis can be used in later designing attention-related devices.