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이충헌(Chung-heon Lee),김규동(Gyu-dong Kim),홍준의(Jun-eui Hong),권장우(Jang-woo Kwon),이동훈(Dong-hoon Lee) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.5
This research measures EEG signals which are generating on head skin and extracts brain concentration level related with brain activity. We have developed concentration wireless transmission system by displaying this EEG signal on PDA mobile device. The front head was used for measuring EEG signal and INA128 with TL084 and analog elements was used for measuring EEG signal, amplifying and filtering the signal. Measured analog EEG signals changed into digital signals by using ADC of PIC24FJ192 with 10bit resolution and 500Ks/s sampling rate. So The changed digital signals have transmitted to the PDA by using bluetooth. LabView 8.5 was also used for FFT transformation, frequency and spectrum analysis of the transferred EEG signal. As a result, θ wave, β wave, e wave and δ wave were classified. we extracted the concentration index by adapting concentration extraction algorithm. This concentration index was transferred into PDA by wireless module and displaying.
생활체육시설을 이용한 학교체육이 체육활동 만족도와 수업태도에 미치는 영향
이충헌(Chung Heon Lee),김정완(Jung Wan Kim) 한국체육교육학회 2011 한국체육교육학회지 Vol.16 No.4
이 연구는 학교 인근의 생활체육시설을 이용한 학교체육활동이 학생들의 체육활동 만족도와 체육수업태도에 어떠한 영향을 미치는 가를 밝히고자 하였다. 이를 위해서 유목적표집법을 이용하여 학교인근의 생활체육시설을 이용한 학교체육활동 프로그램을 운영하는 8개 학교의 중·고등학생 409명을 표집하고 이들의 설문자료를 SPSS 15.0프로그램을 이용하여 분석하였다. 자료분석을 통해 도출된 연구결과는 다음과 같다. 첫째, 생활체육시설을 이용한 학교체육활동에 참여하는 학생들의 체육활동 참여빈도와 참여목적은 체육활동 만족도에 영향을 미치는 것으로 나타났다. 둘째, 생활체육시설을 이용한 학교체육활동에 참여하는 학생들의 체육활동 만족도는 수업태도에 영향을 미치는 것으로 나타났다. 셋째, 생활체육시설을 이용한 학교체육활동에 참여하는 학생들의 참여빈도, 참여목적과 체육활동 만족도 및 체육수업태도는 인과관계가 있는 것으로 나타났다. 그러므로 현대 스포츠 특성과 경향을 수용할 수 있는 수준 높은 학교인근의 생활체육시설을 학교체육에 활용하는 것은 학생들에게 체육활동 만족도를 높이고 긍정적인 체육수업태도를 갖게 하는데 크게 기여할 수 있을 것이다. The purpose is to examine the effects of school sport activity using the community sport facilities on the satisfaction of sport activities and the physical education class attitude. In order to achieve this purpose, the questionnaires were distributed to 409 students of 8 middle·high schools using social sports facilities on the school sport activities. For the analysis of data, exploratory factor analysis, reliability analysis and multiple regression analysis were carried out by using the program SPSS 15.0 for Windows. The research results are as follows: First, the participation frequency of the students participating on the school sport activity using the social sport facilities and the purpose of participation effected on the satisfaction of sport activities. Second, the satisfaction of sport activities of the students participating on the school sport activity using the social sport facilities effected on the physical education class attitude. Third, there was a causal relationship among the frequency of participation, purpose of participation, satisfaction of sport activities and physical education class attitude.
이충헌(Chung-heon Lee),권장우(Jang-woo Kwon),김규동(Gyu-dong Kim),홍준의(Jun-eui Hong),신대섭(Dae-Seob Shin),이동훈(Dong-hoon Lee) 대한전자공학회 2009 電子工學會論文誌-SC (System and control) Vol.46 No.2
본 연구는 두피에서 발생하는 EEG(Electroencephalogram)신호를 측정한 후 두뇌활동과 관련된 지표 중 집중도를 추출하여 집중도의 크기에 따라 하드웨어를 제어하는 집중도 무선전송 시스템을 구연하고자 하였다. 뇌파신호를 측정하여 집중도를 추출하기 위해 두피의 좌, 우 두 채널을 사용하였으며 Biopac의 MP100과 EEG100C을 이용하여 뇌파신호 계측 증폭 및 필터링을 하였다. 계측된 EEG 신호로부터 특정 주파수 대역 및 스펙트럼을 분석하기 위해서 LabVIEW 8.5를 이용하여 FFT(Fast Fourier Transformation)처리를 하였다. 이를 통해 SMR파, Mid-Bata파, Theta파 주파수영역으로 분류 한 후 집중도 추출 알고리즘을 적용하여 집중도 지표를 추출하였고 추출된 집중도 신호를 무선전송하여 BCI(Brain Computer Interface)기술에 응용하고자 레고 자동차에 적용하여 보았다. This research measures EEG signals which are generating on head skin and extracts brain concentration level related with brain activity. We develop concentration wireless transmission system for controlling hardware by using this signal. Two channels are used for measuring EEG signal on front head and Biopac system with MP100 and EEG100C was used for measuring EEG signal, amplifying and filtering the signal. LabView 8.5 was also used for FFT transformation, frequency and spectrum analysis of the measured EEG signals. As a result, SMR wave, Mid-Bata wave, θ wave classified. We extracted the concentration index by adapting concentration extraction algorithm. This concentration index was transferred into lego automobile device by wireless module and applied for BCI application.
이충헌(Chung-Heon Lee),장이찬(Lee-Chan Jang),박진우(Jin-Woo Park),최재운(Jae-Woon Choi) 대한외과학회 2008 Annals of Surgical Treatment and Research(ASRT) Vol.74 No.1
Purpose: Since the early 20th century, IVC anomalies have been studied by autopsy, venography, CT, and MRI. Previous studies using conventional CT were usually performed with axial view images with a distance of 3∼5 ㎜. The aim of this study is to determine the incidence of IVC anomalies using MDCT (multi-detector computed tomography). Methods: 1,560 cases of abdominal MDCT imaged in Chungbuk National University hospital from July 2006 to November 2006 were included in this study. We reviewed axial view images at a distance of 1∼2 ㎜, and analyzed coronal view images and sagittal view images reconstructed by multiplanar reformatting with an E-film workstation. Results: The incidence of IVC anomalies was 2.38% (43/1,560). Two left IVC (0.12%), 12 double IVC (0.76%), 25 circumaortic left renal veins (1.6%), and 4 retroaortic left renal veins (0.25%) were detected. The common iliac vein was completely separated in six among 12 double IVC cases. In circumaortic left renal veins, the anterior left renal veins were usually prominent, and the posterior left renal veins were always located on the distal side. The mean distance between the anterior and posterior left renal vein was 39 ㎜. The incidence of a prominent left gonadal vein was 5%. Conclusion: IVC anomalies are not uncommon, and can have clinical implications. Awareness of anomalies can allow clinicians to avoid diagnostic pitfalls and intraoperative morbidity.