Yong In Songdam College

Gyeonggi do, South Korea

Yong In Songdam College

Gyeonggi do, South Korea

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Kim K.B.,Silla University | Park H.J.,Pusan National University | Song D.H.,Yong In Songdam College | Han S.-S.,Inje University
Current Medical Imaging Reviews | Year: 2014

In this paper, we propose a method to extract sternocleidomastoid and longus capitis/colli automatically and measure the thickness of those muscles from cervical vertebrae ultrasound images. Extracting sternocleidomastoid is relatively easy but for longus capitis/colli case, due to the brightness sensitivity, it requires much more computationally burdensome procedures. In the binarization process, instead of simple and cheap thresholding method, we apply fuzzy sigma binarization to mitigate the sensitivity. Since that binarization procedure is computationally expensive we keep thresholding method for sternocleidomastoid case. With considerate image processing processes such as 4-directional contour analysis and Cubic Spline interpolation, we can successfully analyze features like muscle thickness. In experiment, the efficacy of the proposed method is verified as having 73 ~ 87% of real world cervical vertebrae images successfully analyzed meaning that only a small magnitude of errors in measuring thickness from medical expert's own measurement (less than 0.1 cm for sternocleidomastoid and less than 0.3 cm for longus capitis/colli). We hope such result encourages the use of automatic ultrasound analysis system for cervical vertebrae in rehabilitation practices. © 2014 Bentham Science Publishers.


Kim H.,Yong In Songdam College | Kim K.,Namseoul University
Advanced Science Letters | Year: 2015

This study attempts to investigate the need for a computer simulation-based program of nursing students for fundamental nursing skills. Subjects were nursing students from a College of Nursing in Gyeonggi-do. 110 nursing students completed a structured questionnaire. Through the questionnaire, the need for a computer simulationbased program for 20 core fundamental nursing skills were investigated. Data was analyzed by SPSS 18.0. The research found that female students wanted to learn more by computer simulation in subcutaneous injection, intradermal injection and intravenous injection. Both young and old students wanted to learn more in enema and tracheostomy care through computer simulation. There were no differences among other variables. Because the use of computer simulation-based learning has been increasing recently, the results of this study can be a useful guideline for developing simulation-based education programs for nursing students. © 2015, American Scientific Publishers. All rights reserved.


Kim K.-B.,Silla University | Lee H.-J.,Silla University | Song D.H.,Yong in Songdam College | Woo Y.W.,Dong - Eui University
Neural Network World | Year: 2010

In this paper, we propose a novel method to measure the muscle thickness from ultrasound images of lumbar region in order to diagnose low back pain effectively. Images used in this study were obtained by muscle endurance tests for analyzing low back pain and muscle contraction patterns. We measure the thickness of the third muscle layer of lumbar spine, which is the most developed one in that region, and the measuring point is the center of ultrasound image. We apply Fuzzy C-Mcans (FCM) based quantization in extracting fascia from ultrasound images. FCM quantizer first analyzes the distribution of intensity from images and then makes clusters of similar intensity based on the distance from the center point. Our FCM based quantizer in conjunction with end-in search stretching algorithm overcomes the disadvantage of popular ART2 based quantizer that is weak in accuracy of extracting fascia when the distribution of the intensity is diverse. Based on our experiment, the proposed method is sufficiently competitive with that of human experts in measuring thickness of lumbar region muscles, thus it could be used as an auxiliary computer aided system for medical specialists. ©ICS AS CR 2010.


Kim K.-B.,Silla University | Song D.H.,Yong In Songdam College | Cho J.-H.,Catholic University of Pusan | Woo Y.W.,Dong - Eui University
Lecture Notes in Electrical Engineering | Year: 2013

In this paper, we propose an intelligent method to detect small scratches from eyeglasses using fuzzy logic. Inspecting scratches of eyeglasses largely depends on the native eye exam that may lead providing defected eyeglasses to customers at optician's shop since those small scratches are often occurred in the process of transportation rather than that of production. Our method computes the possibility of ill-effect by scratch on glasses with membership degree of the scratch size and that of distance between the center and the scratch from candidate scratched areas extracted in the pre-processing phase. Our method is applied to CHEMI MID HL HM dioptric lenses in experiment and it is verified that the proposed method is sufficiently effective by real optician's evaluation. © 2013 Springer Science+Business Media Dordrecht.


PubMed | Yong in Songdam College, Pusan National University and Silla University
Type: | Journal: BioMed research international | Year: 2016

Accurate diagnosis of acute appendicitis is a difficult problem in practice especially when the patient is too young or women in pregnancy. In this paper, we propose a fully automatic appendix extractor from ultrasonography by applying a series of image processing algorithms and an unsupervised neural learning algorithm, self-organizing map. From the suggestions of clinical practitioners, we define four shape patterns of appendix and self-organizing map learns those patterns in pixel clustering phase. In the experiment designed to test the performance for those four frequently found shape patterns, our method is successful in 3 types (1 failure out of 45 cases) but leaves a question for one shape pattern (80% correct).


PubMed | Yong in Songdam College, Pusan National University and Silla University
Type: | Journal: Computational and mathematical methods in medicine | Year: 2016

Deep Cervical Flexor (DCF) muscles are important in monitoring and controlling neck pain. While ultrasonographic analysis is useful in this area, it has intrinsic subjectivity problem. In this paper, we propose automatic DCF extractor/analyzer software based on computer vision. One of the major difficulties in developing such an automatic analyzer is to detect important organs and their boundaries under very low brightness contrast environment. Our fuzzy sigma binarization process is one of the answers for that problem. Another difficulty is to compensate information loss that happened during such image processing procedures. Many morphologically motivated image processing algorithms are applied for that purpose. The proposed method is verified as successful in extracting DCFs and measuring thicknesses in experiment using two hundred 800 600 DICOM ultrasonography images with 98.5% extraction rate. Also, the thickness of DCFs automatically measured by this software has small difference (less than 0.3cm) for 89.8% of extracted DCFs.


Park M.,Chungnam National University | Sung M.R.,Yong In Songdam College | Kim S.K.,Chungnam National University | Lee D.Y.,Seoul National University
Journal of Korean Academy of Nursing | Year: 2014

Purpose: This study was done to compare demographic characteristics, comorbidity, and health habits of elders with mild cognitive impairment (MCI) and elders with cognitively normal function (CNF).Methods: Secondary data analysis was conducted using data from the Database of the Seoul Dementia Management Project for 5,773 adults age 60 and above.Results: The MCI group showed an older age distribution, but there was no significant education difference between the two groups. Elders with MCI had more diabetes and stroke than elders with CNF. In subgroups, the same findings were observed in women, but not in men. While more men with MCI had hypertension compared to men with CNF, there was no significant difference in hypertension between the two groups for women. Elders with MCI, men in particular, had a lower prevalence of obesity than men with CNF. MCI individuals did less exercise compared to individuals with CNF. While there were no significant differences in alcohol consumption and smoking between MCI and CNF groups, the over 80’s subgroup with MCI reported more alcohol consumption.Conclusion: Findings from this study could be helpful in designing communitybased dementia prevention programs and health policies to reduce the prevalence of dementia or related cognitive impairments. © 2014 Korean Society of Nursing Science.


Park M.,Chungnam National University | Sung M.,Yong In Songdam College | Kim S.K.,Chungnam National University | Kim S.,Korea University | Lee D.Y.,Seoul National University
International Psychogeriatrics | Year: 2015

Background: Caregiver burden is a complex and multidimensional construct. Although previous studies have explored numerous factors associated with caregiver burden, these factors have not been identified with a large population-based sample in a theory-based multidimensional way. This study explores multidimensional determinants associated with family caregiver burden to determine the main contributors of caregiver burden in Alzheimer's disease (AD) using a large community dataset. Methods: A retrospective secondary data analysis was conducted on 1,133 patients with AD and 1,133 primary caregivers who were registered in a metropolitan city dementia center in South Korea. The patient data included socio-demographic and disease profiles. The caregiver data consisted of socio-demographic and caregiving profiles. Results: The study results identified that dementia-related factors were the most significant factors, representing 25.6% of caregiver burden and were followed by caregiving-related factors explaining caregiver burden significantly. Behavioral problems and instrumental activities of daily living (IADL) dependency of the patient, spousal relationship, hours of caregiving, and the number of diseases associated with the caregiver were found to be significant individual variables. Conclusions: It is vital to develop a service and support program with a greater emphasis on the behavioral problems and IADL deficiency of patients with AD as well as on improving the competence ability of caregivers to deal with such difficulties. Copyright © International Psychogeriatric Association 2015.


Seo H.-J.,Chosun University | Lee D.Y.,Seoul National University | Sung M.R.,Yong in Songdam College
International Psychogeriatrics | Year: 2015

Background: The highest increase in the prevalence of dementia in the elderly population is expected in South Korea than in any other country in the world. However, there is no assessment of the community-based general populations' understanding of dementia in South Korea, in spite of the increasing burden of dementia. Thus, this study assessed the public knowledge about dementia. Methods: This is a population-based, cross-sectional study of 2,189 participants, aged 10 years or older, and living in Seoul, South Korea. A 12-item questionnaire with true/false responses was used to assess the knowledge about dementia from June to November 2011. The data obtained were analyzed using quantitative methods. Results: The mean score for the knowledge about dementia was 9.0 ± 2.1 points out of 12 points. More than half of the respondents (52.7%) reported that dementia is not treatable, and one-third of the participants did not know that Alzheimer's disease is the most common cause of dementia. The level of dementia knowledge was negatively associated with increasing age, and positively associated with higher education level. Conclusions: Our results suggest that although laypersons had a fair knowledge about dementia, further educational programs and campaigns are needed to improve knowledge about dementia, more focusing on elderly adults as the target audience and emphasizing the causes and treatments of dementia as educational contents. © 2014 International Psychogeriatric Association.


Cho G.,Yonsei University | Jeong K.,Yong in Songdam College | Paik M.J.,Yonsei University | Kwun Y.,Yonsei University | Sung M.,Yonsei University
IEEE Sensors Journal | Year: 2011

Development of textile-based electrodes and motion sensors is one of the main issues of recent smart textile research utilizing electronic textiles. Electrocardiogram (ECG) electrodes have been developed by various textile technologies such as sputtering or electroless-plating on the fabric surfaces, and embroidering or knitting with stainless steel yarns. In addition, two types of motion sensors have also been developed using piezo-resistive textiles. They were fabricated by knitting and braiding. To examine the usability of the ECG electrode, waveforms of the conventional AgCl electrode, and the new electrodes developed in our lab were compared. It was found that electrodes using metallic embroidering are more efficient when its substrate was a metal blended fabric. The electrolessly Cu/Ni plated fabrics obtained the best conductivity in textile-based electrodes. The first motion-measuring textile-based sensor was used to predict and measure the changes in electric resistances that accompany the angle changes in the elbow joint. An advanced piezo-resistive textile by braiding showed more accurate resistance changes and also better durability. Changes in its electrical resistance were mapped to changes in its length extension. From the relationship between the extension and the electrical resistance, movement or posture of human body was detected. © 2011 IEEE.

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