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심전도 신호에서 부정맥 환자의 R파 검출 알고리즘 연구
안세종(Ahn, Se-Jong),임창주(Lim, Chang-Joo),김용권(Kim, Yong-Gwon),정성택(Chung, Sung-Taek) 한국산학기술학회 2011 한국산학기술학회논문지 Vol.12 No.10
심전도는 다양한 형태의 전기적 신호로 이루어져 있으며, 이러한 신호들의 특징점을 분석함으로써 부정맥을 검출할 수 있다. 지금까지 부정맥 검출을 위한 특징점 추출 방법에 대하여 많은 연구가 이루어졌으나, 복잡한 연산과 정으로 실시간 연산 결과를 활용하는 휴대형 기기에는 부적합하다. 이와 같은 문제점을 해결하기 위하여 본 연구에서 는 환자의 R-R 간격과 QRS 너비의 정보를 이용하여 R파를 추출하였다. 우선 버터워스 필터를 이용하여 저주파 대역 의 잡음을 제거하였으며, R-R간격의 이동평균과 QRS 너비의 이동평균을 이용하여 R파를 추출하였다. 이에 대한 결 과 검증은 MIT-BIH 부정맥 데이터베이스의 데이터를 활용하여 실험하였으며, 제공된 데이터의 R파 위치와 제안한 알고리즘의 R파 위치를 비교하였다. 이에 대한 결과로는 제안한 알고리즘 방법이 우수한 검출 성능을 보였으며, 연산 과정에서도 효율적인 방법임을 확인 할 수 있었다. ECG consists of various types of electrical signal on the heart, and feature point of these signals can be detected by analyzing the arrhythmia. So far, feature points extraction method for the detection of arrhythmia done in the many studies. However, it is not suitable for portable device using real time operation due to complicated operation. In this paper, R-peak were extracted using R-R interval and QRS width informations on patients. First, noise of low frequency bands eliminated using butterworth filter, and the R-peak was extracted by R-R interval moving average and QRS width moving average. In order to verify, it was experimented to compare the R-peak of data in MIT-BIH arrhythmia database and the R-peak of suggested algorithm. As a results, it showed an excellent detection for feature point of R-peak, even during the process of operation could be efficient way to confirm.
안세종(S. J. Ahn),임창주(C. J. Lim),송장섭(J. S. Song),정성택(S. T. Chung) 한국재활복지공학회 2011 한국재활복지공학회 학술대회논문집 Vol.2011 No.11
A study on motion analysis required into rehabilitation of the patients. In general, motion analysis observed many infrared camera recoded movements of joint to put reflection markers. Such being the method, however, not only inconvenient but consume much time because patients put on reflection markers to take off theirs clothes and calibrate the marker position. For this study, in order to solve the problems, developed markerless camera system to support tracking for human organism movements that any equipment have not on body. This system is a quite outstanding speed and accuracy in motion recognition, and it has a convenient 3D images confirm immediately by markers not attach.
스마트폰 영상을 이용한 슬관절 각도 및 활보장에 대한 보행분석
장재훈(J. H. Jang),신성욱(S. W. Shin),송기호(K. H. Song),안세종(S. J. Ahn),정성택(S. T. Chung) 한국재활복지공학회 2013 한국재활복지공학회 학술대회논문집 Vol.2013 No.10
Various types of disease in the nervous and musculoskeletal system can change gait, and the gait analysis is very important in determining the progression of the disease. Most methods of analyzing gait are subject to high-priced equipment and spatial restrictions. This study used smart phone images and the walking track analysis program to make a comparative analysis with the existing gait analysis on the basis of the stride length measurements and the changes in the knee joint angle for walking. The test necessary to analyze gait was conducted in seven healthy men, and data about the angle of right and left knee joints and stride length were used to analyze gait. The gait analysis in this study obtained the similar results to the existing ones. The use of the methods suggested in this study will enable gait analysis to be made without high-priced equipment and spatial restrictions.