• Title/Summary/Keyword: Biological signal

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The Characteristics of Muscle Fatigue of EMG Signal Using the AR Model (AR 모델을 이용한 EMG 신호의 근육피로 특성)

  • 김홍래;왕문성
    • Journal of Biomedical Engineering Research
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    • v.10 no.1
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    • pp.11-16
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    • 1989
  • This paper describes the AR model of EMG signal during maximum voluntary contraction. By comparing the AR coefficients and the reflection coefficients of the AR model with the median frequency of power spectrum, it is proved that muscle fatigue can be measured by the AR and the reflection coefficients. In the estimation procedure of AR model parameter, the autocorrelation method is superior to the covariance method, and it is determined that the optimal order is six. As the muscle becomes fatigue, the median frequency of power spectrum is declined, and the AR coefficient [$a_1$] and the reflection coefficient [$k_1$] are also decreased. Therefore the muscle fatigue can be measured by the AR parameter.

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A Study on the Lung Nodule Detection in Digital Radiographic Images (디지탈 래디오 그래피 영상에서의 흉부 노듈 검출에 관한 연구)

  • 고석빈;김종효
    • Journal of Biomedical Engineering Research
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    • v.10 no.1
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    • pp.1-10
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    • 1989
  • An automatic lung nodule detection algorithm was applied for digital radiographic images using Bit Slice Processor. In this algorithm, signal enhancing filtering and signal suppressing filtering were performed on the given digital chest image, respectively. Then we grit the dirt- frrence image from these filtered images, and hi-level island images were obtained by applying various threshold values. From the island images, we decided the suspicious nodules using size and circularity test, and marked them to alert radiologists. The performance of the atgorithm was analyzed with respect to the size, contrast and position of digitally synthesized nodules. This method presented 45.8% of true positive ratio for the nodules of lOw in diameter with 12-16 pixel value differnces.

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Digital Signal Processing for Improvement of Resolution in A-mode (A-mode의 분해능향상을 위한 디지탈 신호처리)

  • 최종호;최종수
    • Journal of Biomedical Engineering Research
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    • v.6 no.1
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    • pp.31-36
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    • 1985
  • In this paper, we describe the digital signal-processing for ultrasonic echo signals for the improvement of range resolution. The problem is to find the magnitude of analytic signals that are consistent with the arrival-rate of energy. It is also baaed upon the fact that the shapes of echo signals do not change, although the ampli- tudes and widths of the echo signals become smaller and wider than those of the transmitted signals. We have made the improvement in range resolution by using the quadrature-low pass filter and the area filter which are made on the basis of the theory discussed above.

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Left Ventricular Image Processing and Displays of Cardiac Function

  • Kuwahara, Michiyoshi
    • Journal of Biomedical Engineering Research
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    • v.6 no.1
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    • pp.1-4
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    • 1985
  • Background EEG signals can be represented as the sum of a conventional AR process and an innovation process. It is know that conventional estimation techniques, such as least square estimates (LSE) or Gauasian maximum likelihood estimates (MLE-G) are optimal when the innovation process satisfies the Gaussian or presumed distribution. When the data are contaminated by outliers, however, these assumptions are not met and the power spectrum estimated by conventional estimation techniques may be fatally biased. EEG signal may be affected by artifacts, which are outliers in the statistical term. So the robust filtering estimation technique is used against those artifacts and it performs well for the contaminated EEG signal.

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Design and Distortion Analysis of Digital Filters for ECG Waveforms Detection (EOG 신호의 파형 감지를 위한 디지털 필터의 설계 및 왜형 해석)

  • Nam, Hyun-Do;Ahn, Dong-Jun;Lee, Cheol-Heui
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.05
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    • pp.70-73
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    • 1993
  • Design as well as Distortion analysis of signal conditioning filters is very useful for practical applications. Distortion analysis of digital filters for wave forms detection in ECG signals is presented. Several band pass and band reject filters are designed for the analysis. Computer simulations are performed to compare the distortions of the Butterworth type filters and linear phase optimal FIR filters which are widely used for ECG signal processing.

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Preliminary Study on the Detection of Late Potentials using High-Resolution Electrocardiography (HRECG에 의한 Late Potential의 검출에 관한 예비 연구)

  • Woo, Eung-Je;Park, Seung-Hun
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.05
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    • pp.63-65
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    • 1993
  • We have done a preliminary study on the detection of ventricular late potentials using high-resolution electrocardiography. We designed a battery powered low-noise ECG amplifier. We used the XYZ lead system and the amplifier provides 3 channels of X, Y, and Z signals with a conventional gain and another 3 channels of the amplitude-limited X, Y, and Z signals with high-gain. 12-bit data acquisition system interfaces the amplifiers to a personal computer for further signal analysis. Beat alignment algorithm was implemented on the low-gain signals to synchronize the signal averaging of the high-gain amplitude-limited signals. We suggest the use of the weighted vector sum of X', Y', and Z' signals based on the SNR of each channel. We speculate that this new method will increase the accuracy of the LP detector at the expense of more complicated hardware.

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NMR Functional brain Imaging with the Tailored RF Pulse (TAILORED RF PULSE를 이용한 NMR에서의 뇌 기능 영상법)

  • Ro, Y.M.;Cho, Z.H.;Mennon, R.S.;Ugurbil, K.
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.05
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    • pp.21-24
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    • 1993
  • The experimental results of visual stimulation with the tailored RF pulse are reported. Tailored RF pulse is used for the susceptibility effect imaging. Around 25% signal change of visual cortex area is detected during photic stimulation. Interestingly, with the tailored RF pulse, the signal intensity of visual cortex is deceased during photic stimulation. It is, however, increased with normal $T_2$ weighted imaging. The comparison between normal $T_2$ weighted imaging and the tailored RF pulse imaging are performed with 4T NMR system and the results with human volunteer are also presented.

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

  • Lee, Byung-Chae;Jeong, Kee-Sam;Lee, Myoung-Ho
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.05
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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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The Development of Low-noise EEG Preamplifier (저잡음 뇌파 전치 증폭기의 개발)

  • Yoo, S.K.;Kim, N.H.;Kim, S.H.;Song, J.S.;Ahn, C.B.
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.05
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    • pp.68-70
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    • 1995
  • A low-noise pre-amplifier is developed for use in Topographic Brain Mapping system. It consists of signal generator, signal amplifier with a impedance converter, shield driver, body driver, differential amplifier, and isolation amplifier. Pre-amplifier circuit is designed with the concept of isolation and active body and shield driver. This amplifier shows the good noise behavior, high CMRR, high input impedance, low leakage current and high IMRR.

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Integrated Bio-signal Management System Through Network (네트워크를 통한 의료정보관리시스템에 관한 연구)

  • Lee, W.H.;Suk, J.H.;Yoon, Y.R.;Yoon, H.R.;Kang, D.J.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.05
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    • pp.151-153
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    • 1996
  • The purpose of this paper is the development of Integrated Bio-signal Management System(IBMS) using the network. IBMS is the system to manage the medical signals that measured from the each independent medical measurement system module. Each has a LAN. We developed the file-server network using Novell Netware. Also, we developed the Graphic User Interface software for IBMS using Visual C++ at Windows 3.1.

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