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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of Biomedical Engineering Research
Journal Basic Information
Journal DOI :
The Korea Society of Medical and Biological Engineering
Editor in Chief :
Volume & Issues
Volume 27, Issue 6 - Dec 2006
Volume 27, Issue 5 - Oct 2006
Volume 27, Issue 4 - Aug 2006
Volume 27, Issue 3 - Jun 2006
Volume 27, Issue 2 - Apr 2006
Volume 27, Issue 1 - Feb 2006
Selecting the target year
A Study on the Artemisia Extract Moxibustion Method for the Diabetes
Yoon Dong-Eop ; Jo Bong-Kwan ; Kim Jong-Won ;
Journal of Biomedical Engineering Research, volume 27, issue 2, 2006, Pages 39~46
We have implemented the Artemisia Extract Moxibustion Method in order to improve the conventional moxibustion therapy. This method is aimed to eliminate burning wounds and smoke, which are the defects of conventional moxibustion therapy. We have verified the effectiveness of the method to the diabetes. We have performed a clinical test for the 23 cases of the diabetics. Level of FBS(fasting blood sugar) didn't show significant changes, but showed the tendency of the descent, and level of HbA1c significantly decreased after the treatments(P<0.001)(n=19).
Predicting Successful Defibrillation in Ventricular Fibrillation using Wave Analysis and Neuro-fuzzy
Shin Jae-Woo ; Lee Hyun-Sook ; Hwang Sung-Oh ; Yoon Young-Ro ;
Journal of Biomedical Engineering Research, volume 27, issue 2, 2006, Pages 47~52
The purpose of this study was to predict successful defibrillation in ventricular fibrillation using parameters extracted by wave analysis method and neuro-fuzzy. Total 15 dogs were tested for predicting successful defibrillation. Feature parameters were extracted for return of spontaneous circulation (ROSC) and non-ROSC by wave analysis method, and these parameters are an irregularity factor, spectral moments, mean power of level-crossing spectrum, and mean of alpha-significant value. Additionally, two parameters by analyzing method of frequency were extracted into a mean of power spectrum and a mean frequency. Then extracted parameters were analyzed in which parameters result to have high performance of discriminating ROSC and non-ROSC by a statistical method of t-test. The average of sensitivity and specificity were 62.5% and 75.0%, respectively. The average of positive predictive factor and negative predictive factor were 61.2% and 75.8%, respectively.
]-relaxation Time Measurement of ex vivo
MR Metabolite Peaks for Evaluation of Human Stomach Cancer
Mun Chi-Woong ; Choi Ki-Sueng ; Shin Oon-Jae ; Yang Young-Ill ; Chang Hee-Kyung ; Hu Xiaoping ; Eun Chung-Ki ;
Journal of Biomedical Engineering Research, volume 27, issue 2, 2006, Pages 53~58
In this study, transverse relaxation time (T2) measurement and the evaluation of the characteristics of the spectral peak related to stomach tissue metabolites were performed using ex vivo proton magnetic resonance spectroscopic imaging (MRSI) at 1.5-T MRI/S instruments. Thirty-two gastric tissues resected from 12 patients during gastric cancer surgery, of which 19 were normal tissue and 13 were cancerous tissue, were used to measure the
of the magnetic resonance spectroscopy (MRS) peaks. The volume of interest data results from the MRSI measurements were extracted from the proper muscle (MUS) layer and the composite mucosa/submucosa (MC/SMC) layer and were statistically analyzed. MR spectra were acquired using the chemical shift imaging (CSI) point resolved spectroscopy (CSI-PRESS) technique with the parameters of pulse repetition time (TR) and echo times (TE) TR/(TE1,TE2)=1500 msec/(35 msec, 144 msec), matrix
, NA=1, and voxel
. In conclusion, the measured
of the metabolite peaks, such as choline (3.21ppm) and lipid (1.33ppm), were significantly decreased (p<0.01 and p<0.05, respectively) in the cancerous stomach tissue.
Magnetocardiogram Topography with Automatic Artifact Correction using Principal Component Analysis and Artificial Neural Network
Ahn C.B. ; Kim T.H. ; Park H.C. ; Oh S.J. ;
Journal of Biomedical Engineering Research, volume 27, issue 2, 2006, Pages 59~63
Magnetocardiogram (MCG) topography is a useful diagnostic technique that employs multi-channel magnetocardiograms. Measurement of artifact-free MCG signals is essenctial to obtain MCG topography or map for a diagnosis of human heart. Principal component analysis (PCA) combined with an artificial neural network (ANN) is proposed to remove a pulse-type artifact in the MCG signals. The algorithm is composed of a PCA module which decomposes the obtained signal into its principal components, followed by an ANN module for the classification of the components automatically. In the experiments with volunteer subjects, 97% of the decisions that were made by the ANN were identical to those by the human experts. Using the proposed technique, the MCG topography was successfully obtained without the artifact.
Patch-based Cortical Source Modeling for EEG/MEG Distributed Source Imaging: A Simulation Study
Im Chang-Hwan ;
Journal of Biomedical Engineering Research, volume 27, issue 2, 2006, Pages 64~72
The present study introduces a new cortical patch-based source model for EEG/MEG cortical source imaging to consider anatomical constraints more precisely. Conventional source models for EEG/MEG cortical source imaging have used coarse cortical surface mesh or sampled small number of vertices from fine surface mesh, and thus they failed to utilize full anatomical information which nowadays we can get with sub-millimeter modeling accuracy. Conventional ones placed a single dipolar source on each cortical patch and estimated its intensity by means of various inverse algorithms; whereas the suggested cortical patch-based model integrates whole cortical area to construct lead field matrix and estimates current density that is assumed to be constant in each cortical patch. We applied the proposed and conventional models to realistic EEG data and compared the results quantitatively. The quantitative comparisons showed that the proposed model can provide more precise spatial descriptions of neuronal source distribution.
Effects of Heat Treatment and Rest-inserted Exercise on Muscle Activity
Bang Jae-Kyun ; Hwang Sung-Jae ; Kim Chi-Hyun ;
Journal of Biomedical Engineering Research, volume 27, issue 2, 2006, Pages 73~77
Prolonged immobilization leads to significant weakness and atrophy of the skeletal muscle and can also impair the recovery of muscle strength following injury. Therefore, it is important to minimize the period under immobilization and accelerate the return to normal activity. This study examined the effects of combined heat treatment and rest-inserted exercise on the muscle activity of the lower limb during knee flexion/extension. Twelve healthy subjects were assigned to 4 groups that included: (1) heat treatment + rest-inserted exercise; (2) heat treatment + continuous exercise; (3) no heat treatment + rest-inserted exercise; and (4) no heat treatment + continuous exercise. Heat treatment was applied for 15 mins prior to exercise. Continuous exercise groups performed knee flexion/extension at 0.5 Hz for 300 cycles without rest whereas rest-inserted exercise groups performed the same exercise but with 2 mins rest inserted every 60 cycles of continuous exercise. Changes in the rectus femoris and hamstring muscle activities were assessed at 0 and 2 weeks of treatment by measuring the electromyography signals of isokinetic maximum voluntary contraction. Significant increases in both the rectus femoris and hamstring muscles were observed after only 2 weeks of treatment when both heat treatment and rest-inserted exercise were performed. These results suggest that combination of various treatment techniques, such as heat treatment and rest-inserted exercise, may accelerate the recovery of muscle strength following injury or immobilization.
Algorithm of Copulsation Estimation for Counterpulsation using Pressure of VAD Outlet Cannula
Kang Jung-Soo ; Lee Jung-Joo ; Jung Min-Woo ; Park Yong-Doo ; Sun Kyung ;
Journal of Biomedical Engineering Research, volume 27, issue 2, 2006, Pages 78~82
The ventricular assist device(VAD) helps to reduce the overload against the patient's native heart(NH). The pulsatile VAD pumps out the ventricular blood to the aorta with pulsatile flow. If the VAD pulsates simultaneously with the NH, the ventricle of the NH could confronts abnormally elevated aortic pressure, and this could deteriorate the ventricle rather than assist to recover it. Thus counterpulsation algorithms to avoid copulsation have been adopted by many VADs, but these methods utilize electrocardiography or arterial pressure signals, which may have difficulties to acquire consistently for a long period. In this study, the copulsation estimation algorithm for the counterpulsation is developed using the VAD outlet pressure signal. The VAD outlet pressure signal is good to maintain for a long time and the sensor part could be integrated to the VAD as a built-in module. From the VAD outlet pressure signal and its pump rate information calculated with Fast Fourier Transform, pulse peaks by the VAD and the NH were extracted and the next copulsation time at which the VAD and the NH would pulsate simultaneously was estimated. This estimation algorithm was implemented by using PC MATLAB software and tested for various pump rate conditions with mock circulation system. For each condition, the copulsation time was estimated successfully. Consequently, the results showed the possibility to use the outlet cannula pressure signal in the copulsation estimation.