• Journal of Biomedical Engineering Research
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• v.30 no.5
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• pp.355-361
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• 2009

Mitochondria play a key role in maintaining life by producing ATP and heat. Recent researches have demonstrated that degenerative diseases such as heart failure, obesity/diabetes, cardiovascular disease, and psychiatric diseases are accompanied by mitochondria dysfunction. In this sense, mitochondria medicine considers the significance of mitochondria in human pathology and tries to explain degenerative diseases as a fatal consequence of mitochondria dysfunction. Here, I introduce the fundamentals of mitochondria physiology and present examples showing the relationship between mitochondria dysfunction and chronic complex diseases. Although mitochondria medicine uses a molecular biological approach predominantly, a biomedical engineering approach might play a critical role in unveiling the complexity of mitochondria medicine and in its application to the diagnosis and treatment of chronic diseases. Thus, I also briefly review the prospects of research using biomedical engineering methods.

• Journal of Biomedical Engineering Research
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• v.31 no.1
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• pp.27-32
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• 2010

Noninvasive detection of patients with probable Alzheimer's disease (AD) is of great importance for assisting a medical doctor's decision for early treatment of AD patients. In the present study, we have extracted quantitative electroencephalogram (qEEG) variables, which can be potentially used to diagnose AD, from resting eyes-closed continuous EEGs of 22 AD patients and 27 age-matched normal control (NC) subjects. We have extracted qEEG variables from mean phase coherence (MPC) and EEG coherence, evaluated for all possible combinations of electrode pairs. Preliminary trials to discriminate the two groups with the extracted qEEG variables demonstrated that the use of MPC as a supplementary or alternative measure for the EEG coherence may enhance the accuracy of noninvasive diagnosis of AD.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.867-868
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• 2006

We have developed the elastic measurement system that diagnose the abdominal region, DAM. It cause the Chronic gastro-intestinal disease. For the purpose of detecting the disease, we use the ultrasonic sensor for the collecting response signal and CPLD for the minimum rining. This system has a digital TGC(time gain compensator). We were display the elastic signal to a graph on the LABVIEW.

• Journal of Industrial Technology
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• v.42 no.1
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• pp.13-18
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• 2022

Diabetes mellitus is an abnormally high glucose level in the bloodstream. Several pharmaceuticals are administered to diabetic patients to control their glucose levels. Early diagnosis and proper glycemic management are essential in this situation to prevent further progression and complications. Biosensor-based detection has progressed and shown potential in portable and inexpensive daily assessment of glucose levels because of its simplicity, low cost, and convenient operation without sophisticated instrumentation. This review discusses various systemic aspects of non-invasive glucose monitoring, including materials for monitoring and managing diabetes.

• Journal of Biomedical Engineering Research
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• v.9 no.2
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• pp.195-210
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• 1988

We build up distributed database of medical picture and design and realize H/W & S/W of special image workstation. We build up high speed image transmission system for distributed database and retrieval of various medical pictures in w ard through image transmission system and realize integrated image diagnosis. This system improves medical service by speedy diagnosis and enables more precise diagnosis by integrated image diagnosis through distributed database. In economical view this system curtails huge cost of film processing and transmission, which make medical expense cheaf, because it does not use film. We built up PACS in pediatric hospital of Seoul National University Hopital and tested the system with various medical pictures and showed that speedy integrated image diagnosis is possible.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.10-15
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• 2012

The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is diagnosis of the spondylolisthesis from biomedical data that is derived from the shape and orientation of the pelvis and lumbar spine. The data set has six attributes including pelvic incidence, pelvic tilt, lumbar lordosis angle, sacral slope, pelvic radius and grade of spondylolisthesis and two class including normal and abnormal. From University of California at Irvine machine learning repository, 100 normal and 150 spondylolisthesis patient's data were used for this study. Mahalanobis Taguchi System (MTS) application process and the diagnosis results were described in this paper.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.500-503
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• 2002

Biomedical signals are ubiquitously contaminated and degraded by background noise which span nearly all frequency bandwidths. This paper proposes the MADF (multiplication free adaptive digital filter) algorithm to cancel the noise. And the convergence characteristics of the algorithm is analyzed. In the experimental results, the MADF algorithm has the advantage in which has superior to a condition of low-frequency and slow data speed. This application gives an important significance in ensuring the objectivity of clinical information and in promoting the representation and the disease diagnosis.

• Journal of the Korean Magnetic Resonance Society
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• v.13 no.2
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• pp.64-83
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• 2009

The purpose of this study was to evaluate the usefulness of in vivo 3T $^1H$ MRS with short TE for prescreening various brain diseases. Together with ten normal volunteers, 12 brain tumor patients(2 lymphomas, 5 malignant gliomas) and 5(benign meningiomas) and 10 brain ischemic disease patients(6 acute and 4 subacute infarctions) participated. Lymphomas showed increased intensities of Cho and Lac. Likewise, gliomas showed increased Cho and Lac, but with decreased NAA and ${\beta}\;{\gamma}$-Glx; in higher grade of gliomas, Lac, Cho, mI and Lip predominantly increased with decrease of NAA. Benign meningiomas showed increased Cho, Lac and ${\beta}\;{\gamma}$-Glx; with decreased of NAA. The alanine peak at 1.47 ppm is a neuronal marker for meningiomas. Infarctions showed increased Lac and Lip and decreased NAA, ${\alpha}$-Glx and ${\beta}\;{\gamma}$-Glx where Lac increased with decreased of ${\alpha}$-Glx in acute, and Cho, Lac and Lip increased with decrease of NAA in subacute. Elevated Lac and decreased NAA levels were more aggravated in subacute. Clinical application of the $^1H$ MRS with short TE at 3T is able to povide valuable spectral information for prescreening various brain diseases by monitoring the changes of disease-specific cerebral metabolite concentrations in vivo, and consequently, it can be applicable to assessment of differential diagnosis and malignancy as well.

• Journal of Biomedical Engineering Research
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• v.28 no.1
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• pp.75-83
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• 2007

Elasticity is an important physical property of biological tissues. Differences in elasticity can help facilitate the diagnosis of tumors and their extent. Magnetic Resonance Elastography (MRE) tries to visualize images of tissue elasticity by externally applying shear stress on the surface of an imaging object. Applied shear stress induces internal displacements that can be measured from MR phase images. In order to conduct MRE imaging experiments, we need to first develop a vibrator. We found that there does not exist enough technical information to design the MRE vibrator. In this paper, we describe the theory, design and construction of an MRE vibrator. We report the performance of the developed vibrator using two different test methods. We found that the vibrator successfully induces enough internal displacements that can be imaged using an MRI scanner. We suggest future studies of numerous MRE imaging experiments using the vibrator.

• Journal of Magnetics
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• v.19 no.3
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• pp.255-260
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• 2014

A portable clip-type pulsimeter equipped with a magnetic sensing Hall device has been developed to raise the accuracy of oriental disease diagnosis and therapy by convergence of magnetism and oriental medicine. To improve accuracy and reliability of conventional pulsimeter due to subjective analysis of the pulse wave and measuring position dependency of the arterial pulse sensor, the fuzzy algorithm was applied to analyze the strong- and weak-pulse wave symptom. Optimal time for electronic acupuncture was calculated using fuzzy rules and interference were drawn from objective data in view of pre-treatment. Moreover, the electrical characteristics of the pain parts that respond to acupuncture point were applied in view of post-treatment to propose the scientific pulse wave algorithm and simulation experiment.