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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Biomedical Engineering Research
Journal Basic Information
Journal DOI :
The Korea Society of Medical and Biological Engineering
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Volume & Issues
Volume 20, Issue 6 - Dec 1999
Volume 20, Issue 5 - Oct 1999
Volume 20, Issue 4 - Aug 1999
Volume 20, Issue 3 - Jun 1999
Volume 20, Issue 2 - Apr 1999
Volume 20, Issue 1 - Feb 1999
Selecting the target year
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 237~249
Recent Research Trend and Future Direction in Dental Biomaterials
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 251~264
Interframe Coding for 3-D Medical Images Using an Adaptive Mode Selection Technique in Wavelet Transform Domain
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 265~274
In this paper, we propose a novel interframe coding algorithm especially appropriate for 3-D medical images. The proposed algorithm is based on a video coding algorithm using motion estimation/ compensation and transform coding. In the algorithm, warping is adopted lor motion compensation (MC). Then, by using adaptive mode selection, a motion compensated residual image and original image are mixed up in the wavelet transform domain for improvement in coding performance. The mixed image is then compressed by the zerotree coding method. We prove that the adaptive mode selection technique in the wavelet transform domain is very useful lor 3-D medical image coding. Simulation results show that the proposed scheme provides good performance regardless of inter-slice distance and is prospective for 3-D medical image compression.
Audio Processing Algorithm Using Base Line Shift Method in Pulsed Doppler Systems
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 275~281
Conventional PW Doppler systems suffer from the ambiguity of measured blood velocities due to the spectrum aliasing when the corresponding Doppler frequencies are greater than the Nyquist frequency. Base-line shift is a customary method for dealiasing the Doppler spectrums. I lowever, Doppler audio signals still remain unchanged even when the base-line shift method is applied. This paper de scribes an method for dealiasing both the Doppler spectra and audio signals by using sampling rate expansion, frequency shifting, and filtering poerations. For undirectional flows, the method can increase the maximum detectable Doppler frequency from the Nyquist limit of one-half of the Pulse Repetition Frequency(PRF) to the PRF. Experiments with real data have been performed to verify the proposed method.
Segmentation and Visualization of Head MR Image Based on Structural Approach
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 283~290
Because MR(Magnetic Resonance) slice images have much information of functions about body organs, it is very effeclive for diagnoses lo analyze and visualize MR slice images. A visuahzation process is composed of medical image acquisition, preprocessmg, segmentation, inlerpolation, rendering. Segmentation and interpolation among thenl ,1re currenl hot topics because of MR slice image imperfections. This paper proposes a method for segmentalion, mlerpolation respectively and addresses 3 D-visualizmg of a head. We segmented head tissues uomg otructural knowledge of head studied by clinical experiments sequentially. We improved the dynamic elastic inlerpolation to Utilize in concave conlour. We compared the proposed segmentation method and the interpolation method with other methods.
Analysis of two Source Consistency Filtering Algorithms in multi-lead resting ECG
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 291~297
Source consislency filtering (SCF) is very effective at removing nOIse when only one or a few leads among multi-lead ECG signals are contaminated. When the noise at one or only a few leads are statistically uncorrelated with signals at other leads, SCF seleclIvely removes the noise with a neglIgIble amount of distortion in the original signal waveform. In order to enhance the understanding of this new method, we describe the lheory and implementational details of SCF in this paper. Numerical implementation and test results of SCF on a multi-lead ECG dalabase show that SCF is a new kind of adaptive filters utilizmg spatial as well as temporal information in multi-c.hannel signals origmatmg from a single source. We also describe the limitations and future improvements in using SCF.
A Comparison of Representative Beat Extraction Algorithms in ECG
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 299~305
In thls paper, the representative beal textraction algorIthms for the diagnostic parameter extraction in noisy signal were compared. We used the avernge, median, mode, and trmmed mean to calculale the central tendency. In our experimenl, we have restricted to four kinds of noises -EMG noise, 60Hz powerline inlerference, ahrupl baseline shift, and baselme drift due to respimtion-which were commonly occurred in ECG mgnal, then we have calculated signal-to-noise ratios(SNRs) for the ECG corrupted with each noise and all noises together. As the result of this paper, we have proved that the average method has super lor performance than the others in the ECG corrupted wilh EMG noise. When the signal mcludes extreme value such as abrupt baseline shIft, the median, mode, trimmed mean methods have supenor performance in the SNR ratios. Especially when the ECG corrupted with baseline drift due to respirallon, the trimmed mean method was most efficient because ST level change was 0 V.
Inoformation Compression of Myoelectric M-wave Evoked by Electrical Stimulus using AR Model
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 307~314
This paper describes an informatlon compression of electrically evoked myoelectric signal, M-wave. This wave shows a direct response m lato-response of nerve conductlQn study and has a characteristic with finite time support. M-wave is a useful factor for investing neurodi~ease and is often desirable to have a compact description of its shape and time evolution. The aim of this paper is to show that the AR modeling IS a effective method for compressing an information of M-wave. First, AR model parameters of real M-wave are estimated. And then. they are verified by approximatmg a M-wave using estimated AR parameters and by comparing to other melhod, Hermite tlansform. To concretely evaluate the proposed method, the NMSE(normalized mean square error) of approximation curves are compared. As a result, AR modeling is effective for M-wave assessment because of its capability for the information compression.
Development of Mathematical Model to Predict Dynamic Muscle Force Based on EMG Signal
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 315~321
The purpose of this study is to develop a mathematical model for system identification in order to predIct muscle force based on eledromyographic signal. Therefore, a finding of the relalionship between characteristics of electromyographic signal and the corre spondng muscle force should be necessiiry through dynamic, joint model. To develop the dynamic joint model, the upper limb mcludmg the wrist and elbow joint has been considered. The kinematic and dynamic data, such as joint angular displacement, velocity, deceleration along with the moment of inertla, required to establish the dynamic model has been obtained by electrical flexible goniometer which has two degree-of-frcedoms. ln this model, muscle force can be predicted only electromyographs through the relationship between the integrated lorce and the mtegrated electromyographic signal over the duration of muscle contraclion in this study.
Cancellation of Moving Artifact in EDA Signal to Detect Drowsiness(II)
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 323~329
This paper proposed a method for the cancellation of the moving artifact which was produced during the detection of drowsiness usmg electrodermal activity signal. Two types of wrist electrode were developed to overcome the defect of the steering wheel type electrode which couldn't eliminate the moving artifacts due to driver's movements. Wrist type electrode II which has been modified from electrode type I was most effective for eliminating movmg artifacts compared to wheel type electrode and wrisL type electrode 1. The decIsion criteria(if IRI
10 and 1.1
dNz) for detecting moving artifact was determined from the virtual driving experiments. An algorithm which substituted past value of Nz for the current value of Nz whenever an EDA signal satisfied the criteria was developed. The experimental resulls of virtual driving and road test showed that the proposed algorithm had been successfully removed the most of the error due to the moving artifact Therefore, the developed system which use electrode type II and the algorithm might be less influenced by moving artifacts and could measure an accurate arousal state.
Kinematic Analysis of a Mastication Model Employing the 6-DOF Parallel Mechanism
Gang, Gon ; Je, Jeong-Mi ;
Journal of Biomedical Engineering Research, volume 20, issue 3, 1999, Pages 479~479
The ultimate goal of this research is to develop a mastication robot that can copy the human mandibular dynamics; not only kinematics but also pressure acting between jaws. This research was motivated by the fact that a mastication robot can be of great help to dentists in diagnosing and treating masticatory dysfunction, and the corresponding kinematic and dynamic analysis can be applied to other parallel mechanisms. Our first-stage design consists of a base, 3 legs, 3 slides and a platform. One can change the position and orientation of the platform by varying the 3 horizontal displacements and 3 leg lengths, which is called the forward kinematics. We derived 3 nonlinear equations representing the forward kinematics of this design and developed a new algorithm to solve the forward kinematics. One character of our algorithm is that the step size is properly adjusted at each time instant in order to force the algorithm to converge. The new algorithm has three major advantages over the conventional Newton-Raphson(N-R) method which is being widely used. First, our algorithm shows convergence for a wider range of the initial guess, whereas the N-R method is extremely sensitive to the initial guess. Secondly, our algorithm results in much faster convergence that the N-R method. In addition, the computation time Is short enough for a real-time control of the mastication robot. The third advantage is that our algorithm enables us to find the solution closest to the initial guess among the potential solutions, while we cannot predict the position of the resulting solution in the N-R method. We also proposed two conditions to avoid reaching an undesirable solution, and those two conditions guaranteed uniqueness of the forward kinematics problem. ntal results of virtual driving and road test showed that the proposed algorithm had been successfully removed the most of the error due to the moving artifact Therefore, the developed system which use electrode type Ⅱ and the algorithm might be less influenced by moving artifacts and could measure an accurate arousal state.