• The Journal of Korea CHUNA Manual Medicine
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• v.2 no.1
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• pp.159-168
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• 2001

Objectives : It is known that rouleau condition of red blood cell on live blood analysis is related to degree of fatigue. This study was planed to prove the correlation between rouleau condition of red blood cell and degree of fatigue by using the questionnaire 'Symptom Table on Fatigue Perception' that had been verified before. Methods : We analyzed the correlation between rouleau condition and degree of fatigue by calculating ratio of rouleau of red blood cell after measuring degree of fatigue by the questionnaire to the people who had not evidence of illness on health examination and did not take any medicine. Results and Conclusions : This study showed a significance of positive correlation(0.464) between physical fatigue and rouleau condition of red blood cell.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1889-1891
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• 2004

The differential white blood cell count plays an important role in the diagnosis of different diseases. It is a tedious task to count these classes of cell manually. An automatic counter using computer vision helps to perform this medical test rapidly and accurately. Most commercial-available automatic white blood cell analysis composed mainly 3 steps including segmentation, feature extraction and classification. In this paper we concentrate on the first step in automatic white-blood-cell analysis by proposing a segmentation scheme that utilizes a benefit of active contour. Specifically, the binary image is obtained by thresolding of the input blood smear image. The initial shape of active is then placed roughly inside the white blood cell and allowed to grow to fit the shape of individual white blood cell. The white blood cell is then separated using the extracted contour. The force that drives the active contour is the combination of gradient vector flow force and balloon force. Our purposed technique can handle very promising to separate the remaining red blood cells.

• Biomedical Science Letters
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• v.18 no.1
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• pp.71-75
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• 2012

The PLA2G4A catalyzes the hydrolysis of membrane phospholipids to release arachidonic acid, which is metabolized into lipid-based cellular hormones that regulate inflammatory response. The circulating blood cell numbers can be influenced by stress, infection or inflammation. Quantitative blood cell count traits analysis for the 19 SNPs in the PLA2G4A gene in the Korean Association Resource (KARE) cohort (7551 subjects) was performed. The only one SNP (rs10752979) in the all blood cell count was satisfied with the Bonferroni corrected P-value (<0.00263). Furthermore, 6 of the 19 SNPs in the PLA2G4A gene showed a weak or moderate association with blood cell count (P-values: 0.0048~0.042), suggesting the clue of an association between the PLA2G4A gene and blood cell count, especially white blood cell count. This study may provide insight into the genetic basis of blood cell count related with reaction of infection.

• JSTS:Journal of Semiconductor Technology and Science
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• v.5 no.1
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• pp.1-10
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• 2005

This paper presents the development of a microsystem for whole blood purification and electrophysiological analysis of the purified cells. Magnetophoresis using continuous diamagnetic capture (DMC) was utilized for whole cell purification and electrical impedance spectroscopy (EIS) was utilized for electrophysiological analysis of the purified cells. The system was developed on silicon and plastic substrates utilizing conventional microfabrication technologies and plastic microfabrication technologies. Using the magnetophoretic microseparator, white blood cells were purified from a sample of whole blood. The experimental results of the DMC microseparator show that 89.7% of the red blood cells (RBCs) and 72.7% of the white blood cells (WBCs) could be continuously separated out from a whole blood using an external magnetic flux of 0.2 T. EIS was used as a downstream whole cell analysis tool to study the electrophysiological characteristics of purified cells. In this work, primary cultured bovine chromaffin cells and human red blood cells were characterized using EIS. Further analysis capabilities of the EIS were demonstrated by successfully obtaining unique impedance signatures for chromaffin cells based on the whole cell ion channel activity.

• Journal of the Korea Society of Computer and Information
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• v.4 no.1
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• pp.47-53
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• 1999

In medical field, the computer has been used in the automatic processing of data derived in hospital. the automation of diagonal devices, and processing of medical digital images. In this paper, we classify red blood cell into 16 class including normal cell to the automation of blood analysis to diagnose disease. First, using UNL Fourier and invariant moment algorithm, we extract features of red blood cell from blood cell image and then construct multi-layer backpropagation neural network to recognize. We proof that the system can give support to blood analyzer through blood sample analysis of 10 patients.

• Environmental Analysis Health and Toxicology
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• v.5 no.1_2
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• pp.45-50
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• 1990

In order to investigate the phototoxicity of five phenothiazine derivatives and one thioxanthen derivative were examined by using in vitro method based on growth inhibition of Candida albicans and red blood cell hemolysis. Effects of the test compounds on RBCs were monitored with a spectrophotometer and a drug PI in the Candida albicans was calculated on the basis of the lowest concentration giving a yeast-free zone. All phenothiazines phototoxic in the red blood cell hemolysis method were positive in the yeast test except promethazine. It was also observed that toxic photo-products were formed by perphenazine and chlorpromazine in the red blood cell hemolysis.

• Korea-Australia Rheology Journal
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• v.21 no.3
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• pp.161-173
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• 2009

This study analyzes especially drag and lift models recently developed for fluid-solid, fluid-fluid or liquid-liquid two-phase flows to understand their applicability on the computational fluid dynamics, CFD modeling of pulsatile blood flow. Virtual mass effect and the effect of red blood cells, RBCs aggregation on CFD modeling of blood flow are also shortly reviewed to recognize future tendencies in this field. Recent studies on two-phase flows are found as very useful to develop more powerful drag-lift models that reflect the effects of blood cell's shape, deformation, concentration, and aggregation.

• Journal of agricultural medicine and community health
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• v.35 no.1
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• pp.67-76
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• 2010

Objectives: This study was attempted to identify the relationship between white blood cell counts and the metabolic syndrome. Methods: This study included 394 adults who visited the medical checkup center placed in Gwangju, January 1, 2008 to December 31, 2008. Index of blood test and physical checkup were performed on the study such as triglyceride, HDL-cholesterol, fasting sugar and white blood cell counts. Logistic regression analysis was used to evaluate the association between white blood cell counts, white blood cell differential count and metabolic syndrome with an adjustment age and smoking status. Results: The prevalence rate of metabolic syndrome was 25.3% among males and 13.3% among females, and was particularly high among males in their 40s. The increase in white blood cell counts lead to high prevalence of metabolic syndrome for both males and females. As white blood cell counts increased, the values of body mass index and cardiovascular risk factors were increased significantly. The odds ratio for elevated white blood cell counts increased significantly in the subjects with each components of the metabolic syndrome compared to the subjects without them. The lymphocyte counts in the white blood cell differential counts were higher in patients with metabolic syndrome than in those without. Conclusions: High level of white blood cell counts in normal range can be used as indicator in chronic inflammation. Increased white blood cell counts were significantly associated with metabolic syndrome.

• Korean Journal of Acupuncture
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• v.24 no.3
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• pp.91-103
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• 2007

Objectives : The purpose of this study was to investigate the usability of live blood analysis on interior and exterior vascular laser irradiation therapy. Methods : We had analyzed the changing forms of the live blood sample with microscope before and after vascular laser irradiation therapy of blood. The live blood analysis was operated on Rouleau of red cell, erythrocyte aggregation, thrombocyte aggregation, uric acid crystals, red crystals, protoplasts. First, we analyzed all patients on each item, then did same thing classified two groups, Interior and exterior. Results : Rouleau of red cell, erythrocyte aggregation, thrombocyte aggregation, uric acid crystals, red crystals, protoplasts were decreased significantly, after interior and exterior aggregation, uric acid crystals. Interior vascular laser irradiation therapy was more effective than interior on Rouleau of red cell, erythrocyte aggregation, thrombocyte aggregation, uric acid crystals. Interior vascular laser irradiation therapy was more effective than exterior on red crystals, protoplasts. Conclusions : This study suggests that live blood analysis has the usability on vascular laser irradiation therapy. Then according to interior and exterior vascular laser irradiation therapy, the result has some different on each item. So it is better that choose the method, interior or exterior, for more effective therapy.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.302-310
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• 2022

Efficient use of limited blood products is becoming very important in terms of socioeconomic status and patient recovery. To predict the appropriateness of patient-specific transfusions for the intensive care unit (ICU) patients who require real-time monitoring, we evaluated a model to predict the possibility of transfusion dynamically by using the Medical Information Mart for Intensive Care III (MIMIC-III), an ICU admission record at Harvard Medical School. In this study, we developed an explainable machine learning to predict the possibility of red blood cell transfusion for major medical diseases in the ICU. Target disease groups that received packed red blood cell transfusions at high frequency were selected and 16,222 patients were finally extracted. The prediction model achieved an area under the ROC curve of 0.9070 and an F1-score of 0.8166 (LightGBM). To explain the performance of the machine learning model, feature importance analysis and a partial dependence plot were used. The results of our study can be used as basic data for recommendations related to the adequacy of blood transfusions and are expected to ultimately contribute to the recovery of patients and prevention of excessive consumption of blood products.