• Journal of Biomedical Engineering Research
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• v.33 no.1
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• pp.15-24
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• 2012

Classification of human thought is an emerging research field that may allow us to understand human brain functions and further develop advanced brain-computer interface (BCI) systems. In the present study, we introduce a new approach to classify various mental states from noninvasive electrophysiological recordings of human brain activity. We utilized the full spatial and spectral information contained in the electroencephalography (EEG) signals recorded while a subject is performing a specific mental task. For this, the EEG data were converted into a 2D spatiospectral pattern map, of which each element was filled with 1, 0, and -1 reflecting the degrees of event-related synchronization (ERS) and event-related desynchronization (ERD). We evaluated the similarity between a current (input) 2D pattern map and the template pattern maps (database), by taking the inner-product of pattern matrices. Then, the current 2D pattern map was assigned to a class that demonstrated the highest similarity value. For the verification of our approach, eight participants took part in the present study; their EEG data were recorded while they performed four different cognitive imagery tasks. Consistent ERS/ERD patterns were observed more frequently between trials in the same class than those in different classes, indicating that these spatiospectral pattern maps could be used to classify different mental states. The classification accuracy was evaluated for each participant from both the proposed approach and a conventional mental state classification method based on the inter-hemispheric spectral power asymmetry, using the leave-one-out cross-validation (LOOCV). An average accuracy of 68.13% (${\pm}9.64%$) was attained for the proposed method; whereas an average accuracy of 57% (${\pm}5.68%$) was attained for the conventional method (significance was assessed by the one-tail paired $t$-test, $p$ < 0.01), showing that the proposed simple classification approach might be one of the promising methods in discriminating various mental states.

• Anxiety and mood
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• v.12 no.2
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• pp.69-78
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• 2016

Objective : Disaster causes psychological distress to a large number of people in a short period of time, by both direct and indirect exposure to traumatic events embedded in various realms of disaster experience. Optimal, well-planned treatment interventions should follow from the early acute period to recovery phase, extending up to several months later. In this context, there is an increasing need for systemic review to gain comprehensive insights for disaster interventions. These need to be added to public policy, and for the prevention and treatment of disaster-related psychopathology. Here, we review the published studies on psychological interventions for disaster-related posttraumatic stress disorder. Methods : Specific psychological interventions regarded as effective treatments for have been selected for this review, such as CBT (Cognitive-Behavior Therapy), Exposure Therapy, EMDR (Eye Movement Desensitization & Reprocessing), SIT (Stress Inoculation Therapy) and Psychoeducation. In addition, natural disasters, industrial disasters, and accidents involving aircraft and ships were also categorized as disasters, along with war and combat trauma. Results : Cognitive behavior therapy and exposure therapy had the strongest research support for effectiveness, and could be considered as the first-choice treatment for disaster-related PTSD. The second line of treatment is EMDR, although this treatment modality has the advantage of reaching certain treatment improvements in fewer sessions. However, the effects of SIT and psychoeducation to the survivors of disasters, remains unclear at this point. Additionally, we propose the possibilities of using virtual reality component and imagery rescripting as modified forms of traditional cognitive behavior therapy and exposure therapy. Conclusion : Cognitive behavior therapy and exposure therapy, deemed effective treatments for various trauma, are considered to be effective for survivors from disasters. However, the efficacy of other interventions has not yet been examined methodologically in well-designed studies, such as randomized controlled trials. In particular, future empirical studies are needed, since it is difficult to conclude that psychological interventions have similar effects on different types of disasters.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.774-779
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• 2012

Brain-computer interface based on motor imagery is a system that transforms a subject's intention into a control signal by classifying EEG signals obtained from the imagination of movement of a subject's limbs. For the new paradigm, we do not know which positions are activated or not. A simple approach is to use as many channels as possible. The problem is that using many channels causes other problems. When applying a common spatial pattern (CSP), which is an EEG extraction method, many channels cause an overfit problem, in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest a binary particle swarm optimization with channel impact factor in order to select channels close to the most important channels as channel selection method. This paper examines whether or not channel impact factor can improve accuracy by Support Vector Machine(SVM).

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1661-1664
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• 2013

본 연구는 만성 뇌졸중 환자 5 명을 대상으로 상지 운동(Affected hand의 주먹 쥐기/펴기운동)시 참가자의 운동의지와 운동 수행의 유무에 따라 차이가 있을 것을 가정하고, 운동 수행 및 운동의지가 존재하는 Active movement와 운동 수행을 하지만 운동의지가 없는 Passive movement, 운동 수행은 없지만 운동의지가 있는 Motor Imagery(MI)의 세가지 task에 따른 뇌파의 연결성을 비교하고자 한다. 이 때 EEG 영역 간의 연결성을 보기 위한 분석 방식 중 하나인 Phase locking value(PLV)를 통해 각 task 간의 차이를 비교 및 분석했다. 운동 수행은 동일하지만 운동의지 유무에 따른 차이는 Passive movement가 전반적으로 뇌 영역간 연결이 감소하고 Active movement가 motor task 시작 후 375ms를 기점으로 급격히 증가함을 보이는 데에서 발견할 수 있었으며, 운동 수행 유무에 따른 차이는 687.5ms 이후 Active movement에 비해 MI에서 뇌 영역 간 연결 수가 확연히 감소하는 데에서 큰 차이를 나타내었다. 이에 따라 본 연구에서는 만성 뇌졸중 환자의 상지운동 시의 motor task에 따른 EEG 영역간의 연결성을 토대로 운동의지 검출이 가능성이 있음을 밝혔다.

• Child Health Nursing Research
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• v.6 no.2
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• pp.144-157
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• 2000

This study was done to understand nonpharmacologic pain management for pediateric patients and nurses' knowledge and attitudes toward it. The aim of this study was that which method did the patient's use according to the nurses' age, and how did they effectively use these methods in their field. The subjects of this study were 77 nurses working in the Pediatric unit in the Kyung Medical Center from September 2 to 15, 1999 using questionnaire form. The results of this study were as follows : 1. We divided the subjects into four groups : Younger than one year old, 1-6 years, 6-12 years, 12-18 years group. In the group younger one year old, most of the nurses participating in this study used speaking in soft quiet tones, supportive touch, toys, pacifiers. In the group of 1-6 years, they used speaking in soft quiet tones, toys, distracting attention, story talking, and visual stimulus. In the group of 6-12 years. they used pop-up books, providing information, cold therapy, speaking in soft quiet tones, supportive touch. In the group of 12-19 years, most of them used providing information, controling respiration and supportive touch. 2. The effective nursing intervention used in their field are speaking in soft quiet tones, pacifiers and nesting with blanket in the group of younger than one year old. Un the group of 1-6 years old, speaking in soft quiet tones, toys, and supportive touch were effective method in the control of nonp-harmacologic pain management. In the group of 6-12 years old, story talking, supportive touch, and speaking in soft quiet tones were effective method and in the group of 12-18 years old, providing information, cold therapy and supportive touch were effectively used to control nonpharmacologic pain management. 3. To compare the general characteristics and non-pharmacologic pain nursing intervention, in the group of younger than one year, touching stimuli is widely used. In the groups of 1-6, and 6-12 years old, visual and audio method were widely used. In the group of 12-18 years old, sensitive intervention were used as well as education, information and guided imagery. In conclusion, there was no significant difference in nurses' demographic characteristics, child's age and nonpharmacologic pain management. There was significant difference only in the nurses working area, that is nurses working in the surgical department used more audio-visual-tactile pain management methods than medical department.

• Journal of the Korean Society of Radiology
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• v.8 no.5
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• pp.255-260
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• 2014

The acute lumbar pain patients who were unavoidable to take MRI examination were made to take altered lateral recumbent position. they were also not able to control their painfulness and to be in supine position. In this study, it is supposed to increase success rate of the MRI examination through taking the altered lateral recumbent position in using spine and body matrix coil. This altered position made relaxing lumber pain and fatigue for the patients who suffered from sever lumber pain. In these reasons, it decreases the motion artifacts through correcting uncomfortable posture. As a result, qualitative analysis for the image quality was estimated to have average points of supine position A group(lateral recumbent position) of normal candidates and B group(lateral recumbent position) of the abnormal candidates who have sever pain at 4.64, 3.44, and 3.40, respectively. In conclusion, while qualitative analysis in the examination with supine position of the normal patients had significantly high points, the qualitative analysis in the examination with lateral recumbent position of the normal patients and abnormal patients who had sever lumbar pain was almost same. In addition, it was judged that radiologists' imagery interpretation had no other problems in the image evaluation of B group who had acute lumbar pain of abnormal patients. Hereupon, if this technique becomes generalized for the patients who suffer from supine position in the examination, it is supposed to be useful in medical field.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.132-144
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• 2018

3D Geo-spatial information models have been widely used in the field of Civil Engineering, Medical, Computer Graphics, Urban Management and many other. Especially, in surveying and geo-spatial field, the demand for high quality 3D geospatial information and indoor spatial information is so highly increasing. However, it is so difficult to provide a low-cost and high efficiency service to the field which demand the highest quality of 3D model, because pre-constructed spatial data are composed of different formats and storage structures according to the application purpose of each institutes. In fact, the techniques to construct a high applicable 3D geo-spatial model is very expensive to collect and analyze geo-spatial data, but most demanders of 3D geo-spatial model never want to pay the high-cost to that. This study, therefore, suggest the effective way to construct 3D geo-spatial model with low-cost of construction. In general, the effective way to reduce the cost of constructing 3D geo-spatial model as presented in previous studies is to combine the raw data obtained from point cloud observatory and UAV imagery, however this method has some limitation of usage from difficulties to approve the use of raw data because of those have been managed separately by various institutes. To solve this problem, we developed the linking & management system for unifying a high-Resolution raw geo-spatial data based on the point cloud DB and apply this system to extract the basic database from 3D geo-spatial mode for the road database registration. As a result of this study, it can be provided six contents of main entries for road registration by applying the developed system based on the point cloud DB.

• The Korean Journal of Nuclear Medicine Technology
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• v.12 no.1
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• pp.13-18
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• 2008

Purpose: The image processing method due to the algorism which is various portion nuclear medical image decision is important it makes holds. The purpose of this study is it applies hereupon new image processing method SIEMENS (made by Pixon co.) Onco. flash processing reconstruction and the comparison which use the image control technique of existing the clinical usefulness it analyzes with it evaluates. Materials & Methods: 1. Whole body bone scan-scan speed 20 cm/min, 30 cm/min & 40 cm/min blinding test 2. Bone static spot scan-regional view 200 kcts, 400 kcts for chest, pelvis, foot blinding test 3. 4 quadrant-bar phantom-20000 kcts visual evaluation 4. LSF-FWHM resolution comparison ananysis. Results: 1. Raw data (20 cm/min) & processing data (30 cm/min)-similar level image quality 2. Low count static image-image quality clearly improved at visual evaluation result. 3. Visual evaluation by quadrant bar phantom-rising image quality level 4. Resolution comparison evaluation (FWHM)-same difference from resolution comparison evaluation Conclusion: The study which applies a new method Onco. flash processing reconstruction, it will be able to confirm the image quality improvement which until high level is clearer the case which applies the method of existing better than. The new reconstruction improves the resolution & reduces the noise. This enhances the diagnostic capabilities of such imagery for radiologists and physicians and allows a reduction in radiation dosage for the same image quality. Like this fact, rising of equipment availability & shortening the patient waiting move & from viewpoint of the active defense against radiation currently becomes feed with the fact that it will be the useful result propriety which is sufficient in clinical NM.