• Journal of Microbiology and Biotechnology
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• v.20 no.6
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• pp.1042-1052
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• 2010

Forty-seven Salmonella Typhimurium (33 zoonotic, 14 clinical) strains were tested for antimicrobial resistance using the standard disk diffusion method. The presence of relevant resistance genes and class 1 integrons were investigated by using PCR. Pulsed-field gel electrophoresis (PFGE) and plasmid profiling were carried out to determine the genomic diversity of Salmonella Typhimurium. Approximately 57.4% of the S. Typhimurium strains were multidrug resistant (MDR) and showed high resistance rates to tetracycline (70.2%), sulfonamides (57.4%), streptomycin (53.1%), ampicillin (29.7%), nalidixic acid (27.6%), kanamycin (23.4%), chloramphenicol (21.2%), and trimethoprim (19.1%). Resistance towards cephalosporins was noted for cephalothin (27.6%), cephradine (21.2%), amoxicillin clavulanic acid (17.0%), and cephalexin (17.0%). Resistance genes, $bla_{TEM}$, strA, aadA, sul1, sul2, tetA, tetB, and tetC, were detected among the drug-resistant strains. Thirtythree strains (70.2%) carried class 1 integrons, which were grouped in 9 different profiles. DNA sequencing identified sat, aadA, pse-1, and dfrA genes in variable regions on class 1 integrons. Thirty-five strains (74.4%) were subtyped to 22 different plasmid profiles, each with 1-6 plasmids (2.0 to 95 kb). PFGE subtyped the 47 strains into 39 profiles. In conclusion, high rates of multidrug resistance were found among the Malaysian Salmonella Typhimurium strains. The emergence of multidrug-resistant Salmonella Typhimurium to cephalosporin antibiotics was also observed. The strains were very diverse and no persistent clone was observed. The emergence of MDR Salmonella Typhimurium is a worldwide problem, and this report provides information for the better understanding of the prevalence and epidemiology of MDR S. Typhimurium in Malaysia.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.4
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• pp.158-165
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• 2008

LOINC (Logical Observation Identifiers Names and Codes) is a database and universal standard for identifying laboratory and clinical test results that is developed and maintained by Regenstrief Institute. Exchanging laboratory test results is one of the most important area in EHR system and the terminology for laboratory test results has to be standardized. In this paper, we present a pre-preprocessing tool that converts a local database in healthcare organizations to LMOF format LMOF format is required by RELMA and our work helps mapping laboratory test results to LOINC very efficiently Our proposed tool provided user friendly interface and 15% keyword reduction in RELMA search compared to no pre-processing RELMA search.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.345-352
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• 2018

The purpose of this study is to clarify the difference between the scoring results by scorer(doctors and standardization patients) and examination dates. A total of 101 students in the fourth grade of medical school participated in four clinical practice test. Students were randomly assigned to either day-1 or day-2, which was consisted of a standardized patient scoring set or a physician scoring set. Station checklists consisted of history taking, physical examination, patient education, physician-patient relationship and clinical courtesy. The achievement scores of each case and each domain were converted to the standard score, and the differences between groups were compared. Female students' achievement scores were significantly higher than male students' achievement scores in all domains. There was no significant difference between means by the standardized patients' group and doctors group. Day-2 group was significantly higher than day-1 group in both of history taking and physical examination domains. If the principles of checklist are clearly defined, the scorer status (either physician or standardized patients) does not determine the difference of students' practice test scores.

• Journal of KIISE:Software and Applications
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• v.29 no.11
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• pp.803-808
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• 2002

This paper describes automatic methods for detection of kidney and kidney tumor on abdominal CT scans. The abdominal CT images were digitalized using a film digitizer and a gray-level threshold method was used to segment the kidney. Based on texture analysis results, which were perform on sample images of kidney tumors, SEED region of kidney tumor was selected as result of homogeneity test. The average and standard deviation, which are representative statistical moments, were used to as an acceptance criteria for homogeneous test. Region growing method was used to segment the kidney tumor from the center pixel of selected SEED region using a gray-level value as an acceptance criteria for homogeneity test. These method were applied to 113 images of 9 cases, which were scanned by GE Hispeed Advantage CT scanner and digitalized by Lumisvs LS-40 film digitizer. The sensitivity was 85% and there was no false-positive results.

• Journal of Korea Multimedia Society
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• v.14 no.3
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• pp.440-448
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• 2011

The needs for the OpenGL-family of the rendering library standards are highly increasing, especially for the graphical human-machine Interface on the various systems including smart phones and personal information devices. Additionally, in the case of safety-critical market for avionics, military, medical and automotive applications, OpenGL SC, the safety critical profile of the OpenGL library plays the major role for the graphical interfaces. In this paper, we represent our OpenGL SC emulation library on the OpenGL 1.x rendering pipeline which is widely available on the existing embedded systems, to provide the features of OpenGL SC standard cost-effectively. Our method can provide the OpenGL SC features at the low development cost on the embedded systems, and its implementation is also one of the fundamental elements for the emulation of embedded systems in the PC environment. Our final result now works on both of Linux-based and VxWORKS systems, showing correct execution results at the reasonable speed.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.1
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• pp.571-578
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• 2013

Background: Patients with breast cancer can experience a feeling of hopelessness very deeply in the adjustment process, and the social support provided during this period can be effective in increasing the level of hope. The present study aimed to identify breast cancer patients' social support and hopelessness level. Materials and Methods: The target population of this analytical study was all breast cancer patients (total of 85) who had treatment in the oncology department of a university hospital located in Adana/Turkey and who met the inclusion criteria. Data were collected through "Personal Information Form", "Beck Hopelessness Scale (BHS)" and "Multidimensional Scale of Perceived Social Support" (MSPSS). Analysis was performed using Shapiro Wilk, One Way ANOVA Welch, Student t-test, Mann Whitney U, and Kruskall Wallis tests. Homogeneity of variance was tested with the Levene, Bonferroni and Games Howell tests. Mean scores and standard deviation values are given as descriptive statistics. Results: Average age of the participants with breast cancer is $48.6{\pm}10.6$. Of all the participants, 84.7% are married, 49.4% graduated from primary school, 81.2% are housewives, and 82.4% had children. The participants' multidimensional perceived social support total scores were found to be high ($57.41{\pm}13.97$) and hopelessness scale scores low ($5.49{\pm}3.80$). There was a reverse, linear relationship between hopelessness scale scores and social support total scores (r=-0.259, p=0.017). A statistically significant relationship was found between hopelessness scores and education level and having children, occupation, income status, and education level of spouses (p<0.05). Conclusions: The present study indicates that hopelessness of the patients with breast cancer decreased with the increase in their social support. Therefore, activating patient social support systems is of importance in increasing their level of hope.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.507-514
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• 2012

XML-based standards such as CCD(Continuity of Care Document) and CCR(Continuity of Care Record) have been developed for representation, integration, and exchange of personal health record(PHR), and various of researches on PHR based on the standards have been conducted. These researches have developed and used CCD/CCR parsers each with their own different ways, but it can be hard to develop and update the parsers because of the structural complexity of the standards. Moreover, inter-exchange between CCD and CCR documents in the PHR-related medical information systems should be possible for the interoperability of the systems. Therefore, we proposed a designing method to develop the tools treating XML-based CCD/CCR documents. And we implemented CCD/CCR parser based on the proposed method and developed a converter from CCD to CCR using the parsers. To confirm the usefulness of the developed tool, we performed an experiment of creating CCD documents using the personal health data gathered from chronically ill patients in Kyungpook National University Hospital and of converting from the CCD documents to CCR documents.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.3
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• pp.40-47
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• 2010

In this study, we investigated the performance of real-time QRS complex detection algorithm in physio-module for echocardiography. The performance of QRS detection module in echocardiography was evaluated according to international standard, EC-13 and we compared with commercialized physio-module with QRS complex detection. In this study, we can get performance of QRS complex detection, pacer pulse detection, Tall t-wave rejection and arrhythmia detection within EC-13's criteria and we can get improved QRS trigger delay time and baseline wondering rejection times in compared with commercialized physio-module.

• Journal of IKEEE
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• v.23 no.4
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• pp.1273-1279
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• 2019

Though sleep polysomnography (PSG) is considered as a golden rule for medical diagnosis of sleep disorder, it is essential to find alternative diagnosis methods due to its cost and time constraints. Recently, as the popularity of wearable health devices, there are many research trials to replace conventional actigraphy to consumer grade devices. However, these devices are very limited in their use due to the accessibility of the data and algorithms. In this paper, we showed the predictive model for sleep stages classified by American Academy of Sleep Medicine (AASM) standard and we proposed the estimation of sleep cycle by comparing sensor data and power spectrums of δ wave and θ wave. The sleep stage prediction for 31 subjects showed an accuracy of 85.26%. Also, we showed the possibility that proposed algorithm can find the sleep cycle of REM sleep and NREM sleep.

• Korean Journal of Biological Psychiatry
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• v.19 no.1
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• pp.65-69
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• 2012

Objectives : Much is still unknown about the neurophysiological mechanisms or dynamics of the sleep onset process. Detrended fluctuation analysis (DFA) is a new tool for the analysis of electroencephalography (EEG) that may give us additional information about electrophysiological changes. The purpose of this study is to analyze long-range correlations of electroencephalographic signals by DFA and their changes in the sleep onset process. Methods : Thirty channel EEG was recorded in 61 healthy subjects (male:female=34:27, age=$27.2{\pm}3.0$ years). The scaling exponents, alpha, were calculated by DFA and compared between four kinds of 30s sleep-wakefulness states such as wakefulness, transition period, early sleep, and late sleep (stage 1). These four states were selected by the distribution of alpha and theta waves in O1 and O2 electrodes. Results : The scaling exponents, alpha, were significantly different in the four states during sleep onset periods, and also varied with the thirty leads. The interaction between the sleep states and the leads was significant. The means (${\pm}$ standard deviation) of alphas for the states were 0.94 (${\pm}0.12$), 0.98 (${\pm}0.12$), 1.10 (${\pm}0.10$), 1.07 (${\pm}0.07$) in the wakefulness, transitional period, early sleep and late sleep state respectively. The mean alpha of anterior fifteen leads was greater than that of posterior fifteen leads, and the two regions showed the different pattern of changes of the alpha during the sleep onset periods. Conclusions : The characteristic findings in the sleep onset period were the increasing pattern of scaling exponent of DFA, and the pattern was slightly but significantly different between fronto-temporal and parieto-occipital regions. It suggests that the long-range correlations of EEG have a tendency of increasing from wakefulness to early sleep, but anterior and posterior brain regions have different dynamical process. DFA, one of the nonlinear analytical methods for time series, may be a useful tool for the investigation of the sleep onset period.