• Journal of Biomedical Engineering Research
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• v.36 no.5
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• pp.183-190
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• 2015

Invasive blood pressure (IBP) is measured for the patient's real time arterial pressure (ABP) to monitor the critical abrupt disorders of the cardiovascular system. It can be used for the estimation of cardiac output and the opening and closing time detection of the aortic valve. Although the unexplained inflections on ABP make it difficult to find the mathematical relations with other cardiovascular parameters, the estimations based on ABP for other data have been accepted as useful methods as they had been verified with the statistical results among vast patient data. Previous windkessel models were composed with systemic resistance and vascular compliance and they were successful at explaining the average systolic and diastolic values of ABP simply. Although it is well-known that the blood pressure reflection from peripheral arteries causes complex inflection on ABP, previous models do not contain any elements of the reflections because of the complexity of peripheral arteries' shapes. In this study, to simulate a reflection wave of blood pressure, a new mathematical model was designed with four elements that were the impedance of aorta, the compliance of aortic arch, the peripheral resistance, and the compliance of peripheral arteries. The parameters of the new model were adjusted to have three types of arterial blood pressure waveform that were measured from a patient. It was used to find the relations between the inflections and other cardiovascular parameters such as the opening-closing time of aortic valve and the cardiac output. It showed that the blood pressure reflection can bring wide range errors to the closing time of aortic valve and cardiac output with the conventional estimation based on ABP and that the changes of one-stroke volumes can be easily detected with previous estimation while the changes of heart rate can bring some error caused by unexpected reflections.

• Korean Journal of Biological Psychiatry
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• v.22 no.4
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• pp.173-178
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• 2015

Objectives Previous genome-wide association studies have indicated the association between ankyrin 3 (ANK3) and the vulnerability of schizophrenia. We investigated the association between single nucleotide polymorphisms (SNPs) covering the whole ANK3 locus and schizophrenia in the Korean population. Methods The study subjects were 582 patients with schizophrenia and 502 healthy controls. Thirty-eight tag SNPs on ANK3 and five additional SNPs showing significant association with schizophrenia in previous studies were genotyped. Results Three (rs10994181, rs16914791, rs1938526) of 43 SNPs showed a nominally significant association (p < 0.05) with at least one genotype model. But none of these associations remained significant after adjusting for multiple testing errors with Bonferroni's correction. Conclusions We could not identify a significant association between ANK3 and schizophrenia in the Korean population. However, three SNPs showing an association signal with nominal significance need to be investigated in future studies with higher statistical power and more specific phenotype crossing the current diagnostic categories.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.19 no.2
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• pp.112-119
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• 2008

Objectives : This study was conducted to examine whether there are qualitative differences in attention problem among children with various psychiatric disorders, including attention-deficit hyperactivity disorder (ADHD), depressive disorder, anxiety disorder, and tic disorder using clinical ADHD diagnostic system (ADS) T-scores. Methods : The subjects were 794 outpatient children aged from 5 to 15 years, including 540 children with ADHD, 95 children with depressive disorder, 86 children with anxiety disorder, and 73 children with tic disorder. Clinical T-scores on the ADS were calculated using the mean and standard deviations of four ADS variables for the ADHD group. Results : All four groups had T-scores on the ADS in the abnormal range. However, when comparing the clinical T-scores, the children with depressive and anxiety disorders performed better than the children with ADHD. We also found that although the four groups seemed to be similar in terms of clinical T-scores for omission and commission errors, there were significant differences in clinical T-scores for reaction time and the standard deviation of response time (RT) between the ADHD and other groups. Conclusions : We concluded that inattention and impulsivity might not be specific only to ADHD and that the clinical T-scores of RT and standard deviation of RT on the ADS could be used to discriminate between ADHD and other clinical groups.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.12 no.2
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• pp.94-98
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• 2012

Purpose: Developmental delay and mental retardation are frequently occurring disorders that present major socio-economic burden on the affected individual's family and society. Both can be congenital or acquired. However, a large number of people are institutionalized without exact diagnosis and, as a result, have not received proper care. Methods: 508 subjects with mental retardation or developmental delay from six institutions in Chung Buk Province were clinically evaluated and screened for metabolic and endocrinologic problems between 2000 and 2012. Results: Clinical genetic disorders were observed in 52 (10.2%) subjects. Cerebral palsy attributed to 21% of the institutionalized. 18 (3.5%) were diagnosed with metabolic disorders and 13 (2.6%) exhibited secondary endocrinologic dysfunction. Over 16% showed metabolic evidence of malnutrition. Conclusion: 21% and 3.5% of the population institutionalized due to mental retardation or developmental delay were afflicted by preventable cerebral palsy and metabolic disorders, respectively. Through early identification of the causes and early treatment, it may be possible to prevent, reduce, or alleviate the disability of many institutionalized individuals. Further research is imperative for establishing guidelines for diagnostic investigation for mental retardation.

• Journal of Gastric Cancer
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• v.10 no.4
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• pp.175-181
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• 2010

Purpose: There is controversy over the treatment for low grade dysplasia, while resection is recommended for high grade dysplasia. But the concordance of the grade of dysplasia between pre- and post-resection is low because of sampling errors with endoscopic biopsy. We attempted to establish a clearer direction for the treatment of dysplasia by clarifying the discrepancy between the pre- and postresection diagnoses. Materials and Methods: We performed a retrospective review of 126 patients who had undergone resection with the diagnosis of dysplasia on biopsy at Bundang CHA Hospital from 1999 to 2009. Results: Seventy patients were diagnosed with low grade dysplasia and 56 patients were diagnosed with high grade dysplasia. Among the 33 patients who received gastrectomy with lymph node dissec-tion, 30 patients were revealed to have invasive cancers and 4 patients showed lymph node metastasis. Discordance between the diagnoses from biopsy and resection occurred in 55 patients (44%). There was no correlation on the comparative analysis between the size, location or gross type of lesion and the grade of dysplasia. Conclusions: The rate of discordance between the diagnoses of endoscopic biopsy and the post resection pathologic report was as high as 44%. Endoscopic mucosal resection was not sufficient for some patients who were diagnosed with dysplasia on biopsy due to the presence of lymph node metastasis. It is necessary to be prudent when determining the follow-up and treatment based solely on the result of the biopsy.

• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.59-67
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• 2002

Major Characteristic of the 7th National Curriculum in science is to provide deep and supplementary learning, depending on the level of each learner. In the level-oriented curriculum, coursewares are used to present teaching materials to various levels. In most coursewares, however, they provide their contents at a uniform level and hence it is hard to expect level-oriented learning. This paper presents learner's modeling for developing student's level-oriented dynamic tutoring system for science class , Instructional module of this system made by component unit is able to be reconstructed dynamically. Learning module is constructed using a hybrid model mixed of Overlay and Bug model. Testing module interprets diagnostic errors to be established by given differentiated weight in accordance with item's difficulty and discrimination. Through ITS student modeling, this system presents various problem solving methods reconstructed by learner's level differentiated.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.624-630
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• 2010

As electrocardiogram(ECG) signals are generally sampled with a frequency of over 200Hz, a method to compress diagnostic information without losing data is required to store and transmit them efficiently. In this paper, an ECG signal compression method, which uses feature points based on curvature, is proposed. The feature points of P, Q, R, S, T waves, which are critical components of the ECG signal, have large curvature values compared to other vertexes. Thus, these vertexes are extracted with the proposed method, which uses local extremum of curvatures. Furthermore, in order to minimize reconstruction errors of the ECG signal, extra vertexes are added according to the iterative vertex selection method. Through the experimental results on the ECG signals from MIT-BIH Arrhythmia database, it is concluded that the vertexes selected by the proposed method preserve all feature points of the ECG signals. In addition, they are more efficient than the AZTEC(Amplitude Zone Time Epoch Coding) method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.9
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• pp.1350-1357
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• 2012

Medical system for personal health management recently changes its paradigm from hospital service to self home care based on ubiquitous technology for healthcare anywhere at any time. The present study developed a wireless bio-signal measurement system for patients to self manage pulmonary disease and benign prostate hyperplasia(BPH), both of which are chronic diseases with increasing frequency in modern society. Velocity-type respiratory air flow transducer adapted to develop respiratory module for pulmonary disease management was simplified in structure to measure uni-directional flow since most important diagnostic parameters are evaluated on the expiratory flow signal only. Standard weight measurement technique was introduced to obtain urinary flow signal for BPH management. Three load cell signals were acquired for averaging to minimize noise, followed by accuracy evaluation. Transmission and receiver modules were also developed with user program for wireless communication. Averaged relative errors were 2.05 and 1.02% for respiratory volume and maximal flow rate, respectively, and the relative error was 2.17% for urinary volume, demonstrating that both modules enabled very accurate measurements. Wireless communication distance was verified within 15m, long enough for home care application. The present system allows the user to select a necessary measurement module on a particular health demand and to immediately provide the self-test results, thus better quality health care would be possible.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.3
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• pp.39-46
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• 2022

This study aims to derive basic living service facility items in rural areas and construct related spatial data. To do this, a literature review on the laws and systems related to the residential environment and services in rural areas, rural spatial planning, and the 'Rural Convention' strategic plan reports for the Jeolla and Gyeongsang Region in 2021 was conducted. Primary data collection and review on the list of basic living service items in rural areas derived from the analysis were conducted. After data collection, 12 sectors and 44 types of rural basic living service items were derived; the data selection was carried out based on the clarity of the subject of data management, whether it was established nationwide, whether it was disclosed and provided, whether it was periodically updated, and whether it was an underlying law. Afterwards, data on the derived rural basic living service items were constructed. Afterwards, spatial data on the derived rural basic living service items were constructed. Because open data provided through various institutions were employed, data structure unification such as data attribute values and code names was needed, and abnormal data such as address errors and omissions were refined. After that, the data provided in text form was converted into spatial data through geocoding, and through comparative review of the distribution status of the converted data and the provided address, spatial data related to rural basic living services were finally constructed for about 540,000 cases. Finally, implications for data construction for diagnosing rural living areas were derived through the data collection and construction process. The derived implications include data unification, data update system establishment, the establishment of attribute values necessary for rural living area diagnosis and spatial planning, data establishment plan for facilities that provide various services, rural living area analysis method, and diagnostic index development. This study is meaningful in that it laid the foundation for data-based rural area diagnosis and rural planning, by selecting the basic rural living service items, and constructing spatial data on the selected items.

• Journal of Biomedical Engineering Research
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• v.42 no.5
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• pp.241-249
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• 2021

Recently, artificial intelligence for diagnosis system of obstetric diseases have been actively studied. Artificial intelligence diagnostic assist systems, which support medical diagnosis benefits of efficiency and accuracy, may experience problems of poor learning accuracy and reliability when inappropriate images are the model's input data. For this reason, before learning, We proposed an algorithm to exclude unread cervical imaging. 2,000 images of read cervical imaging and 257 images of unread cervical imaging were used for this study. Experiments were conducted based on the statistical method Radiomics to extract feature values of the entire images for classification of unread images from the entire images and to obtain a range of read threshold values. The degree to which brightness, blur, and cervical regions were photographed adequately in the image was determined as classification indicators. We compared the classification performance by learning read cervical imaging classified by the algorithm proposed in this paper and unread cervical imaging for deep learning classification model. We evaluate the classification accuracy for unread Cervical imaging of the algorithm by comparing the performance. Images for the algorithm showed higher accuracy of 91.6% on average. It is expected that the algorithm proposed in this paper will improve reliability by effectively excluding unread cervical imaging and ultimately reducing errors in artificial intelligence diagnosis.