• 제목/요약/키워드: biological algorithm

검색결과 849건 처리시간 0.022초

ML 추정을 이용한 혈관 윤곽 추적 알고리듬 (Tracking Algorithm of Vessel's Contour using ML estimation)

  • 박석일;이종실;구자일;홍승홍
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.150-153
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    • 1997
  • The proposed tracking algorithm approaches geometrical method or position, direction, width of vessel. This algorithm using continuity of vessel in spatial coordinates used to determine direction of the center point, after estimating boundary point in dynamic region. Therefore the tracking of vessel's contour is tracked contour as direction of entire contour in coronary artery. This algorithm is automatically processed by DIP as a compared with conventional method, because searching area varies adaptively to allocate searching region from extracted information at past. And ML estimation expressed robust method or angiography as evaluating sample values after preprocessing.

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LDF의 실시간 혈류추정을 위한 알고리즘 (An algorithm for real time blood flow estimation of LDF)

  • 김종원;고한우
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1998년도 추계학술대회
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    • pp.78-79
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    • 1998
  • This paper describes a real time algorithm for blood flow estimation of LDF(laser Doppler flowmeter). Many algorithms for blood flow estimation are using power spectral density of Doppler signal by blood flow. In these research, the fast Fourier transformation is used to estimate power spectral density. This is a block processing procedure rather than real time processing. The algorithm in this paper used parametric spectral estimation. This has real time capability by estimation of AR(autoregressive) parameters sample by sample, and has smoothing power spectrum. Also, the frequency resolution is not limited by number of samples used to estimate AR parameter. Another advantage of this algorithm is that AR model enhance SNR.

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관상동맥 영상에서의 혈관 경계 검출 (Detection of Vessel Contours in Coronary Arteriograms)

  • 엄경식;정재호
    • 대한의용생체공학회:의공학회지
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    • 제16권4호
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    • pp.439-446
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    • 1995
  • 본 논문은 관상동맥 영상에서 혈관 경계 검출에 대한 알고리듬을 제안한다. 제안된 알고리듬은 정합필터링과 적응추적에 기반한 방법이다. 제안된 알고리듬은 분기부분 문제와 직경이 작은 혈관 부분의 문제점을 해결하였다. 또한 빠른 처리기간과 잡음에 강인한 성능을 가지고 있다.

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시계열 데이타의 흔돈도 분석 알고리즘에 관한 연구 (A Study on Complexity Measure Algorithm of Time Series Data)

  • 이병채;정기삼;이명호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1995년도 춘계학술대회
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    • pp.281-284
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    • 1995
  • This paper describes a complexity measure algorithm based on nonlinear dynamics(chaos theory). In order to quantify complexity or regularity of biomedical signal, this paper proposed fractal dimension-1 and fractal dimension-2 algorithm with digital filter. Approximate entropy algorithm which measure a system regularity are also compared. In this paper investigate what we quantify of biomedical signal. These quantified complexity measure may be a useful information about human physiology.

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Genetic algorithm in mix proportion design of recycled aggregate concrete

  • Park, W.J.;Noguchi, T.;Lee, H.S.
    • Computers and Concrete
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    • 제11권3호
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    • pp.183-199
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    • 2013
  • To select a most desired mix proportion that meets required performances according to the quality of recycled aggregate, a large number of experimental works must be carried out. This paper proposed a new design method for the mix proportion of recycled aggregate concrete to reduce the number of trial mixes. Genetic algorithm is adapted for the method, which has been an optimization technique to solve the multi-criteria problem through the simulated biological evolutionary process. Fitness functions for the required properties of concrete such as slump, density, strength, elastic modulus, carbonation resistance, price and carbon dioxide emission were developed based on statistical analysis on conventional data or adapted from various early studies. Then these fitness functions were applied in the genetic algorithm. As a result, several optimum mix proportions for recycled aggregate concrete that meets required performances were obtained.

염색체 영상의 재구성에 의한 형태학적 특징 파라메타 추출 (Morphological Feature Parameter Extraction from the Chromosome Image Using Reconstruction Algorithm)

  • 장용훈;이권순
    • 대한의용생체공학회:의공학회지
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    • 제17권4호
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    • pp.545-552
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    • 1996
  • Researches on chromosome are very significant in cytogenetics since a gene of the chromosome controls revelation of the inheritance plasma The human chromosome analysis is widely used to diagnose genetic disease and various congenital anomalies. Many researches on automated chromosome karyotype analysis has been carried out, some of which produced commercial systems. However, there still remains much room for improving the accuracy of chromosome classification. In this paper, we propose an algorithm for reconstruction of the chromosDme image to improve the chromosome classification accuracy. Morphological feature parameters are extracted from the reconstructed chromosome images. The reconstruction method from chromosome image is the 32 direction line algorithm. We extract three morphological feature parameters, centromeric index(C.I.), relative length ratio(R.L.), and relative area ratio(R.A.), by preprocessing ten human chromosDme images. The experimental results show that proposed algorithm is better than that of other researchers'comparing by feature parameter errors.

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목표물질 스크리닝을 위한 피이크 인식 알고리즘 (A Peak Recognition Algorithm for the Screening of Target Compounds)

  • 민홍기;홍승홍
    • 대한의용생체공학회:의공학회지
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    • 제14권2호
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    • pp.185-193
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    • 1993
  • In this paper, the peak detection algorithm was developed for the purpose of screening of the target compounds. Algorithm is divided into searching the characteristic ion and peak detection. The heuristic knowledge about analytical chemistry was applied for the searching the characteristic ion. Peak detection was accomplished in comparison with the peak identification strings and pattern strings around the retention time. Pattern strings are composed with the number which generated by pattern identification function. The variables of pattern identification function are the codes which represent the difference of two adjacent abundances Some of the free steroids were selected to demonstrate the proposed algorithm.

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인공지능을 이용한 수면 상태의 자동 분석에 관한 연구 (A Study on the Automatic Sleep Scoring using Artificial Intelligence)

  • 박해정;한주만;정도언;박광석
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 춘계학술대회
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    • pp.430-433
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    • 1997
  • We present the preliminary algorithms for automatic sleep scoring. According to the Rechtschaffen & Kales[3]'s critera, we developed six events detectors and eight parameters which contain the background information of signals, such as EEG, EMG, EOG. With the calculated parameters, we scored each epoch by IF-THEN rules, ANFIS for REM preiods, and finally Neural Network for unobvious epochs. The typical point of this algorithm is that the epoch which had good data sets were calculated in the first stage, and unobvious epochs were postponed until the final stage. After staging the good epochs, we classified unobvious epochs by the dominant stage of previous and posterior epochs.

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The Comparison with SAR Patterns of Biological Objects Contacted with Coaxial Waveguide Antenna Using the FDTD Method

  • Koo, S.M.;Kwon, K.H.;Lee, C.W.;Won, C.H.;Kim, M.N.;Cho, J.H.
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.272-275
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    • 1997
  • Noninvasive multifrequency microwave radiometry using coaxial waveguide antenna has been investigated for a homogeneous and our layer human body model. We derived finite-difference time-domain(FDTD) algorithm and equation of MUR and generalized perfectly matched layer(GPML) absorbing boundary conditions(ABCs) in cylindrical coordination. The coupling between coaxial waveguide antenna and a biological object was analyzed by use of the FDTD method using MUR and GPML ABCs to obtain the absorbed power patterns in the media. The specific absorption rates(SAR) distribution which was corresponding to the temperature distribution was calculated in each region by use of the steady-state response in FDTD method. The SAR patterns of FDTD method using MUR ABCs was compared with those of FDTD method using GPML ABCs.

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원격 진단시스템 구현에 관한 연구 (A Study On Implementation of the Telemedicine System)

  • 최봉열;이호재;유동주;허웅
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1992년도 추계학술대회
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    • pp.105-108
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    • 1992
  • In this paper, we have implemented the telemedicine system which has a color image system and a biosignal processor. The inputted image is acquisited to 512 by 480 color image data. The col looted data is compressed to 1/5 of the original image data by using 1/5 and compression algorithm. A biological signals are inputted by 12 bit A/D converter into the system. In case of using 2400bps modem, a frame full color image data and biological information data needed 10 minutes in transmission.

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