• Genomics & Informatics
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• 제9권1호
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• pp.19-27
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• 2011

Gene Expression Omnibus (GEO) has kept the largest amount of gene-expression microarray data that have grown exponentially. Microarray data in GEO have been generated in many different formats and often lack standardized annotation and documentation. It is hard to know if preprocessing has been applied to a dataset or not and in what way. Standard-based integration of heterogeneous data formats and metadata is necessary for comprehensive data query, analysis and mining. We attempted to integrate the heterogeneous microarray data in GEO based on Minimum Information About a Microarray Experiment (MIAME) standard. We unified the data fields of GEO Data table and mapped the attributes of GEO metadata into MIAME elements. We also discriminated non-preprocessed raw datasets from others and processed ones by using a two-step classification method. Most of the procedures were developed as semi-automated algorithms with some degree of text mining techniques. We localized 2,967 Platforms, 4,867 Series and 103,590 Samples with covering 279 organisms, integrated them into a standard-based relational schema and developed a comprehensive query interface to extract. Our tool, GEOQuest is available at http://www.snubi.org/software/GEOQuest/.

• 전기학회논문지
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• 제63권10호
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• pp.1448-1454
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• 2014

In this study, a new type of electrode device is implemented to measure the capacitance energy and interpret it as the ECG (Electrocardiogram) data. The main idea of this new electrode system is to estimate the capacitance on the skin by assembling a capacitive-coupled circuits and translate into the ECG signal. To measure the coupling energy and estimate the aquired data in terms of heart activity, the capacitive-coupled electrode is garmented with fabrics in the form of a chest band or a vest jacket. To compare the ECG data from the capacitive-coupled electrode with the conventional electrode(Ag-AgCl) system, the corelation coefficient between two signals is computed as 0.9517. Thus, we can conclude the fact that capacitive-coupled electrode system can measure a person's heart activity without any contact to his or her skin and can the interpreted as the ECG data.

• 대한의용생체공학회:의공학회지
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• 제29권6호
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• pp.466-476
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• 2008

The more people use ambulatory electrocardiogram(ECG) for arrhythmia detection, the more researchers report the automatic classification algorithms. Most of the previous studies don't consider the un-balanced data distribution. Even in patients, there are much more normal beats than abnormal beats among the data from 24 hours. To solve this problem, the hierarchical classification using 21 features was adopted for arrhythmia abnormal beat detection. The features include R-R intervals and data to describe the morphology of the wave. To validate the algorithm, 44 non-pacemaker recordings from physionet were used. The hierarchical classification model with 2 stages on domain knowledge was constructed. Using our suggested method, we could improve the performance in abnormal beat classification from the conventional multi-class classification method. In conclusion, the domain knowledge based hierarchical classification is useful to the ECG beat classification with unbalanced data distribution.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1994년도 춘계학술대회
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• pp.57-59
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• 1994

In this paper, we present the software part of the intelligent data processing unit (IDPU), which plays an important role in SiMACS. The software system processes ECG, EEG, EMG, blood pressure, respiration, temperature signals, and extracts some information about patient conditions. It displays the patient condition information and the signal data synchronously, and manages them together with other patient personal data in a network-based client/server environment. The software system is designed in an object-oriented paradigm, and implemented in C++ as a window-based application program.

• 한국보건간호학회지
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• 제23권2호
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• pp.262-272
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• 2009

Objectives: This study sought to provide basic data for the establishment of a desirable sense of ethics in medical service by analyzing the consciousness of biomedical ethics of nursing students. Methods: Subjects were nursing students selected from four-year and three-year nursing colleges (n=355 and 360, respectively) in D city and G buk-Do region. The Data was analyzed using t-test, one-way ANOVA, and multiple regression. Results: The average point of the consciousness of biomedical ethics was 2.99. As result of analyzing general and specific aspects of the consciousness of biomedical ethics, statistically significant differences were found in age, religion, participation in religious activity, kinds of student group activity in subjects, ethical values, experience of hearing for biomedical ethics, quantity and quality of biomedical ethics in the current curriculum, the experience of conflict for biomedical ethical problem in subjects. The predicting variables that influence the consciousness of biomedical ethics, ethical values, quantity and quality of biomedical ethics in the current curriculum, religion, age, and experience of hearing for biomedical ethics. Conclusions: An arbitration program that could promote either changeable or controllable ethical values must be considered with attention to the significant variables that can promote the consciousness of biomedical ethics of nursing students.

• 대한치위생과학회지
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• 제1권2호
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• pp.61-71
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• 2018

This study set out to examine the characteristics and consciousness of biomedical ethics among dental hygiene and nursing students and provide basic data for the education of biomedical ethics in the department of dental hygiene. The subjects include 158 and 128 students in the dental hygiene and nursing departments, respectively, at a university in Gyeongnam. Collected data was analyzed with the SPSS 12.0 program. 1. The analysis results show that the dental hygiene and nursing students scored mean 2.72 and 2.65 points in biomedical ethics consciousness, respectively, with statistical significance(p<.000). 2. In the subareas of biomedical ethics, the two groups showed the highest and lowest level of consciousness in organ transplant and euthanasia, respectively. 3. The two groups had differences in characteristics related to biomedical ethics by the major such as ethical values(p<.05), experiences with biomedical ethics education(p<.01), time of biomedical ethics education(p<.001), sources of information and knowledge about biomedical ethics(p<.01), experiences with conflicts in biomedical ethics(p<.000), and willingness to participate in education(p<.05). 4. The nursing students recorded higher biomedical ethics consciousness than the dental hygiene students with no statistically significant differences between them. Biomedical ethics consciousness had positive correlations with ethical values(r=.122) and experiences with biomedical ethics education(r=.356). Based on these findings, the study proposed the development of educational content for biomedical ethics consciousness and research on its effectiveness to help dental hygiene students form desirable biomedical ethics consciousness.

• 보건의료산업학회지
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• 제6권4호
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• pp.37-48
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• 2012

This study sought to provide basic for the establishment of desirable sense of ethics values by analyzing the consciousness of biomedical ethics of freshmen nursing students. The subjects of the study were 420 freshmen nursing students. The period of data collection was from April 1 to 6, 2012 and collected data were analyzed on SPSS/PC 19.0 program. The results is followed; First, the mean score of the consciousness of biomedical ethics was $2.39{\pm}0.25$. While the mostly high ranked category of biomedical ethics was the right to life of newborn($2.76{\pm}0.39$), the category with the lowest score was the artificial abortion($2.13{\pm}0.39$). Second, with respect to the characteristics of participants there were statistically significant difference in total score according to age, religion, and participation in religious activity, experience of hearing for biomedical ethics, sources of information for biomedical ethics, ethical values for biomedical ethics, and in intention to attend biomedical ethics in subjects. As a result, an arbitration program that could promote either changeable or controllable ethical values must be considered with attention to the significant variables that can promote the consciousness of biomedical ethics of freshmen nursing students.

• 한국멀티미디어학회논문지
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• 제21권12호
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• pp.1407-1416
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• 2018

The purpose of this study was to train a model for the ulna and radius bone segmentation based on Convolutional Neural Networks and to verify the segmentation model. The data consisted of 840 training data, 210 tuning data, and 200 verification data. The learning model for the ulna and radius bone bwas based on U-Net (19 convolutional and 8 maximum pooling) and trained with 8 batch sizes, 0.0001 learning rate, and 200 epochs. As a result, the average sensitivity of the training data was 0.998, the specificity was 0.972, the accuracy was 0.979, and the Dice's similarity coefficient was 0.968. In the validation data, the average sensitivity was 0.961, specificity was 0.978, accuracy was 0.972, and Dice's similarity coefficient was 0.961. The performance of deep convolutional neural network based models for the segmentation was good for ulna and radius bone.

• Genomics & Informatics
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• 제3권3호
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• pp.68-73
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• 2005

Pharmacogenomics research requires an intelligent integration of large-scale genomic and clinical data with public and private knowledge resources. We developed a web-based knowledge base for KPRN (Korea Pharmacogenomics Research Network, http://kprn.snubi. org/). Four major types of information is integrated; genetic variation, drug information, disease information, and literature annotation. Eighteen Korean pharmacogenomics research groups in collaboration have submitted 859 genotype data sets for 91 disease-related genes. Integrative analysis and visualization of the large collection of data supported by integrated biomedical path­ways and ontology resources are provided with a user-friendly interface and visualization engine empowered by Generic Genome Browser.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2001년도 제2회 생물정보 워크샵 (DNA Chip Bioinformatics)
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• pp.1-9
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• 2001

scale genomic and postgenomic data means that many of the challenges in biomedical research are now challenges in computational sciences and information technology. The informatics revolutions both in clinical informatics and bioinformatics will change the current paradigm of biomedical sciences and practice of clinical medicine, including diagnostics, therapeutics, and prognostics. Postgenome informatics, powered by high throughput technologies and genomic-scale databases, is likely to transform our biomedical understanding forever much the same way that biochemistry did a generation ago. In this talk, 1 will describe how these technologies will in pact biomedical research and clinical care, emphasizing recent advances in biochip-based functional genomics. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine teaming algorithms will be presented. Issues of integrated biochip informatics technologies including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases will be discussed. Each step will be given with real examples from ongoing research activities in the context of clinical relevance. Issues of linking molecular genotype and clinical phenotype information will be discussed.