• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.6
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• pp.1486-1490
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• 2009

To develop the diagnostic tool for Fire-heat pattern, we analyzed sensitivity and specificity of symptom signs to diagnose the Fire-heat pattern in stroke patients. Korean medicine doctor surveyed Fire-Heat of the symptoms for the Stroke(KSDS) case report form in stroke patients within 1 month of onset. The sensitivity of "more 1/5 in major sings and 2/11 in helpful sings", "more 2/5 in major sings and 2/11 in helpful sings", "more 3/5 in major sings and 2/11 in helpful sings", "more 1/5 in major sings and 3/11 in helpful sings" "more 2/5 in major sings and 3/11 in helpful sings" "more 3/5 in major sings and 3/11 in helpful sings" are respectively 93%, 59%, 33%, 80%, 53%, 32%. The specificity are respectively 93%, 59%, 33%, 80%, 53%, 32%. The sensitivity(59%) and specificity(80%) of "more 2/5 in major sings and 2/11 in helpful sings" that to be implanted.

• Knowledge Management Research
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• v.6 no.2
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• pp.1-22
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• 2005

Knowledge is recognized as the most important asset among enterprises. Therefore, the necessity of knowledge management is ever on the increase nowadays. While many people have endeavored to develop knowledge storage, sharing and usage, knowledge creation is not sufficiently investigated for practical application, because knowledge creation is largely related to creativity and difficult to establish a systematic methodology. In order to overcome such problems, the creative knowledge creation model is proposed by using the whole brain theory and creative thinking tools. First of all, the creative knowledge creation model is based on the Nonaka's knowledge creation model integrated with the whole brain theory. The whole brain theory is then used as a standard to organize a whole brain team that is composed of members who have diverse thinking patterns. For creative thinking tools, the mandal-art and the contradiction matrix of TRIZ are used for a knowledge conversion. Each process of the creative knowledge creation model is sequentially suggested and several terms are defined. In order to verify the effectiveness of the creative knowledge creation model, the proposed model is applied to the development of a dishwasher with a new concept. According to the order of the proposed method, the model is applied twice in the cycle of spiral evolution. Three kinds of dish-washing methods have been developed using the proposed model. The results of the application are then analyzed and presented.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.35 no.1
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• pp.90-97
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• 2024

Objectives: This study aimed to explore the influence of depression severity, disease course, treatment status, and other factors on cognitive function in adolescents with depressive disorders. Methods: Participants who met the inclusion criteria were enrolled in the study. Sociodemographic data of each participant were recorded, including age, sex, and family history of mental disorders. Zung's Self-Rating Depression Scale was used to assess depression status in adolescents. Moreover, P300 and mismatch negativity (MMN) were used to objectively evaluate the participants' cognitive function. Results: Only 26.8% of the adolescents with depression received standard antidepressant treatment. The latencies of N2 (267.80±23.34 ms), P3 (357.71±32.09 ms), and MMN (212.10±15.61 ms) in the adolescent depression group were longer than those in the healthy control group (p<0.01). Further analysis revealed that the latency of MMN was extended with increased levels of depression in adolescents. The MMN latency was short in participants with depression receiving standardized treatment. Furthermore, the latency of MMN was positively correlated with the severity and duration of depression (correlation coefficients were 0.465 and 0.479, respectively) (p<0.01). Conclusion: Receiving standardized treatment and shortening the course of depression can reduce cognitive impairment in adolescents with depression.

• Journal of Trauma and Injury
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• v.23 no.1
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• pp.38-42
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• 2010

Purpose: The clinical utility of brain computed tomography (CT) in detecting temporal bone fracture is not well established. We performed this study to determine the utility of brain computed tomography (CT) in detecting fractures of the temporal bones in correlation with fracture patterns. We used high resolution computed tomography (HRCT) as the gold standard for diagnosing temporal bone fracture and its pattern. Methods: From January 2007 to December 2009, patients who underwent both brain CT and HRCT within 10 days of head trauma were investigated. Among them, 58 cases of temporal bone fracture confirmed by HRCT were finally included. Fracture patterns (transverse or non-transverse, otic capsule sparing or otic capsule violating) were determined by HRCT. Brain CT findings in correlation with fracture patterns were analyzed. Results: Among 58 confirmed cases of temporal bone fracture by HRCT, 14 cases (24.1%) were not detected by brain CT. Brain CT showed a significantly lower ability to detect temporal bone fracture with transverse component than without transverse component (p=0.020). Moreover, brain CT showed lower ability to detect otic capsule violating pattern than otic capsule sparing pattern (p=0.015). Among the 14 cases of temporal bone fracture that were not detected by brain CT, 4 cases lacked any objective physical findings (facial palsy, hemotympanum, external auditory canal bleeding) suggesting fractures of the temporal bones. Conclusion: Brain CT showed poor ability to detect temporal bone fracture with transverse component and otic capsule violating pattern, which is associated with a poorer clinical outcome than otic capsule sparing pattern. Routine use of HRCT to identify temporal bone fracture is warranted, even in cases without evidence of temporal bone fracture on brain CT scans or any objective physical findings suggestive of temporal bone fracture.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.05a
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• pp.126-127
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• 2004

• The Journal of Internal Korean Medicine
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• v.21 no.1
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• pp.39-45
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• 2000

Object : SPECT which can visualize the distribution of CBF was operated to find the basic evidence by objective and scientific inspection on the fact that how the oriental medical treatment for stroke patients can effect CBF. Method : This study made 18 cases an object of research. These patients came to the Dongshin Univ. Oriental Medical Hospical within 5 days from the first attack, were diagnosed as stroke from Brain CT and MAl and were in the hospital for over 4 weeks at least. They were taken acupunture treatment, negative technique and herbal medication. And this study operated SPECT at the instance of admission and at the 4th week after admission 2 times and compared the change of CBF. Results : I operated SPECT on 18 CVA patients and got a result on the change of blood supplies in brain as follows; In the 2nd SPECT compared with 1st, out of the 1st and 2nd SPECT, there are 10 cases(55.6%) of increase and 8 cases (44.4%) of decrease. According to L/Cb11 evauation standard, the 1 st and the 2nd changes of blood supplies in SPECT shows decrese from $0.830{\pm}0.071$ to $0.801{\pm}0.067$. On the other hand, according to L/C standard shows a minute increase from $0.894{\pm}0.079$ to $0.895{\pm}0.091$. But there is nothing meaningful. I treated patients' group with risk factors and the other patients' group without risk factors and observed the changes of blood supplies respectively. And therefore Patients' group without risk factors shows an meaningful increase of blood supplies from $0.835{\pm}0.076$ to $0.796{\pm}0.069$ L/Cbll and also an increase from $0.921{\pm}0.029$ to $0.939{\pm}0.029$ by L/C. But this result by L/C is not significant. Conclusion : As mentioned above, I treated CVA patients through oriental medical therapies using SPECT and researched the changes of blood supplies in their brains. But I could' t get any meaningful result. However, I think only after solving some problems in this treatment and quantifing the changes of blood supplies, this results can be the standard of scientific examination about oriental medical treatments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.39-54
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• 2012

Picture Archiving and Communication System (PACS) has been planted as one of the key infrastructures with an overall improvement in standards of medical informationization and the stream of digital hospitalization in recent days. The kind and data of digital medical imagery are also increasing rapidly in volume. This trend emphasizes the medical image compression for storing large-scale medical image data. Digital Imaging and Communications in Medicine (DICOM), de facto standard in digital medical imagery, specifies Run Length Encode (RLE), which is the typical lossless data compressing technique, for the medical image compression. However, the RLE is not appropriate approach for medical image data with bilateral symmetry of the human organism. we suggest two preprocessing algorithms that detect interested area, the minimum bounding rectangle, in a medical image to enhance data compression efficiency and that re-code image pixel values to reduce data size according to the symmetry characteristics in the interested area, and also presents an improved image compression technique for brain CT imagery with high bilateral symmetry. As the result of experiment, the suggested approach shows higher data compression ratio than the RLE compression in the DICOM standard without detecting interested area in images.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.5
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• pp.938-941
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• 2009

In spite of abundant clinical resources of stroke patients, the objective and logical data analyses or diagnostic systems were not established in oriental medicine. In the present study we tried to develop the statistical diagnostic tool discriminating the subtypes of oriental medicine diagnostic system, syndrome differentiation (SD). Discriminant analysis was carried out using clinical data collected from 1,478 stroke patients with the same subtypes diagnosed identically by two clinical experts with more than 3 year experiences. Numerical discriminant models were constructed using important 61 symptom and syndrome indices. Diagnostic accuracy and prediction rate of 5 SD subtypes: The overall diagnostic accuracy of 5 SD subtypes using 61 indices was 74.22%. According to subtypes, the diagnostic accuracy of "phlegm-dampness" was highest (82.84%), and followed by "qi-deficiency", "fire/heat", "static blood", and "yin-deficiency". On the other hand, the overall prediction rate was 67.12% and that of qi-deficiency was highest (73.75%). Diagnostic accuracy and prediction rate of 4 SD subtypes: The overall diagnostic accuracy and prediction rate of 4 SD subtypes except "static blood" were 75.06% and 71.63%, respectively. According to subtypes, the diagnostic accuracy and prediction rate was highest in the "phlegm-dampness" (82.84%) and qi-deficiency (81.69%), respectively. The statistical discriminant model of constructed using 4 SD subtypes, and 61 indices can be used in the field of oriental medicine contributing to the objectification of SD.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.227-236
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• 2007

Ubiquitous systems have grown explosively over the few years. Nowadays users' needs for high qualify service lead a various type of user terminals. One of various type of user interface, various types of effective human computer interface methods have been developed. In many researches, researchers have focused on using brain-wave interface, that is to say, BCI. Nowadays, researches which are related to BCI are under way to find out effective methods. But, most researches which are related to BCI are not centralized and not systematic. These problems brought about ineffective results of researches. In most researches related in HCI, that is to say - pattern recognition, the most important foundation of the research is to build correct and sufficient DB. But there is no effective and reliable standard research conditions when researchers are gathering brain-wave in BCI. Subjects as well as researchers do not know effective methods for gathering DB. Researchers do not know how to instruct subjects and subjects also do not know how to follow researchers' instruction. To solve these kinds of problems, we propose effective brain-wave DB building system using the five senses stimulation. Researcher instructs the subject to use the five senses. Subjects imagine the instructed senses. It is also possible for researchers to distinguish whether brain-wave is right or not. In real time, researches verify gathered brain-wane data using spectrogram. To verify effectiveness of our proposed system, we analyze the spectrogram of gathered brain-wave DB and pattern. On the basis of spectrogram and pattern analysis, we propose an effective brain-wave DB building method using the five senses stimulation.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.2
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• pp.251-256
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• 2008

Many researchers are studying about human Brain-Computer Interface(BCI) that it based on electroencephalogram(EEG) signals of multichannel. The researches of EEG signals are used for detection of a seizure or a epilepsy and as a lie detector. The researches about an interface between Brain and Computer have been studied robots control and game of using human brain as engineering recently. Especially, a field of brain studies used EEG signals is put emphasis on EEG artifacts elimination for correct signals. In this paper, we measure EEG signals as human emotions and divide it into five frequence parts. They are calculated related the percentage of selecting range to total range. the calculating values are compared standard values by Bayesian Network. lastly, we show the human face avatar as human Emotion.