• Journal of Korean Medical classics
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• v.36 no.1
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• pp.79-107
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• 2023

Objectives : This study aims to improve the diagnosis and treatment of contemporary insomnia by examining Zhang Jiebin's discussion on treating insomnia. Methods : The classical texts from the 'Insomnia' chapter of the Jingyue Quanshu were examined threefold in terms of symptom, treatment, and prescription analysis, after which the treatment discussion part was examined within the historical context of discussions on insomnia in major medical texts starting from the Huangdineijing. Results : According to Zhang, the cause of insomnia could be divided into two, after which criteria for diagnosis and treatment were set as excess pathogen and vital qi deficiency. He argued that insomnia could be naturally resolved through improvement of various pathogenic situations. Discussions on insomnia from various medical texts since the Huangdineijing suggest that pathology related to psychological function and emotions gradually increased and expanded over time. Conclusions : Zhang's discussion on symptom, treatment and prescriptions of insomnia suggests a new framework that could improve treatment effects through a Korean Medical Mind-Body approach, rather than the contemporary classification of organic insomnia and non-organic insomnia.

• Journal of Biomedical Engineering Research
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• v.43 no.6
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• pp.441-447
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• 2022

In this paper, we propose a pill identification model using engraved text feature and image feature such as shape and color, and compare it with an identification model that does not use engraved text feature to verify the possibility of improving identification performance by improving recognition rate of the engraved text. The data consisted of 100 classes and used 10 images per class. The engraved text feature was acquired through Keras OCR based on deep learning and 1D CNN, and the image feature was acquired through 2D CNN. According to the identification results, the accuracy of the text recognition model was 90%. The accuracy of the comparative model and the proposed model was 91.9% and 97.6%. The accuracy, precision, recall, and F1-score of the proposed model were better than those of the comparative model in terms of statistical significance. As a result, we confirmed that the expansion of the range of feature improved the performance of the identification model.

• The Korea Journal of Herbology
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• v.38 no.1
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• pp.45-53
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• 2023

Objectives : Network pharmacology-based research is one of useful tool to predict the possible efficacy and molecular mechanisms of natural materials with multi compounds-multi targeting effects. In this study, we investigated the functional underlying mechanisms of Astragalus membranaceus Bunge (AM) on its anti-obesity effects using a network pharmacology analysis. Methods : The constituents of AM were collected from public databases and its target genes were gathered from PubChem database. The target genes of AM were compared with the gene set of obesity to find the correlation. Then, the network was constructed by Cytoscape 3.9.1. and functional enrichment analysis was conducted to predict the most relevant pathway of AM. Results : The result showed that AM network contained the 707 nodes and 6867 edges, and 525 intersecting genes were exhibited between AM and obesity gene set, indicating that high correlation with the effects of AM on obesity. Based on GO biological process and KEGG Pathway, 'Response to lipid', 'Cellular response to lipid', 'Lipid metabolic process', 'Regulation of chemokine production', 'Regulation of lipase activity', 'Chemokine signaling pathway', 'Regulation of lipolysis in adipocytes' and 'PPAR signaling pathway' were predicted as functional pathways of AM on obesity. Conclusions : AM showed high relevance with the lipid metabolism related with the chemokine production and lipolysis pathways. This study could be a basis that AM has promising effects on obesity via network pharmacology analysis.

• The Journal of Korean Medicine
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• v.43 no.1
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• pp.42-59
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• 2022

Objectives: This study was done to establish the anatomical meaning of the term 'Geun(筋)'. Methods: Through analysis of 《HwangJeNaeGyeong(黃帝內經)》, the meaning of 'Geun(筋)', 'GeunMag(筋膜)', 'Yug(肉)', and 'Gi(肌)' were established. Based on analysis, the anatomical meaning of the 'Meridian-muscle(經筋)' was studied by comparing it with anatomy. Results & Conclusions: 'Gyeong(經)' is recognized as a metaphysical expression and "Geun(筋)" means myofascia in anatomy. The concept of 'Geun(筋)' includes the epimysium and perimysium, as well as tendons and ligaments, which are extensions of these. 'Fascia', refers to the fascia of the whole body, and also appertain to 'Geun(筋)'. 'Yug(肉)' means endomysium, muscle fiber, and adipose tissue and layer. The word 'GeunMag(筋膜)' used in the 《HwangJeNaeGyeong(黃帝內經)》 means anatomically a 'tendon'. Therefore, 'Muscle' should be translated as 'GeunYug(筋肉)' in Traditional medicine. 'Meridian-muscle(經筋)' can be defined as the longitudinal muscle and fascia system, which is the basis of whole body encompassing dynamics.

• Journal of Oriental Neuropsychiatry
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• v.33 no.3
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• pp.317-327
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• 2022

Objectives: To examine clinical effects of Korean medical treatment on depressive disorder. Methods: Medical records of 102 patients diagnosed with depressive disorder who were treated with Korean medical treatment (herbal-medication, acupuncture, Korean psychotherapy) for at least 12 weeks and measured psychological scales (Beck Depression Inventory-II (BDI-II), State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and State-Trait Anger Expression Inventory (STAXI)) every 4 weeks were analyzed. Results: After 12 weeks of treatment, BDI-II, STAI-X-1/2, BAI, and STAXI-S/T all decreased statistically significantly. STAI-X-1 and BAI were significantly decreased throughout the treatment interval (comparisons every 4 weeks). The other four scales decreased significantly from 0 to 4 weeks and from 8 to 12 weeks. Conclusions: Treatment for depressive disorder with Korean Medicine was effective not only in improving overall symptoms of depressed patients, but also in improving accompanying anxiety, anger, and physical symptoms. In addition, since all scores were gradually decreased, continuous treatment would be important.

• Journal of Oriental Neuropsychiatry
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• v.33 no.3
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• pp.329-337
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• 2022

Objectives: To examine effects of traditional Korean medical treatment on obsessive-compulsive disorder (OCD). Methods: Effects of Korean medical treatment on patients with OCD who visited the neuropsychiatric clinic of Korean medicine were examined. Patients were treated with acupuncture, herbal medication, and oriental psychotherapy. Padua-ICMA, Y-BOCS, BDI-2, STAI-X1/X2, BAI were compared before and after 8 and 12 weeks of treatment to determine whether symptoms of patients were improved. Results: After 8 weeks treatment (n=19), Padua-ICMA, Y-BOCS, BDI-2, STAI-X1/X2, and BAI scores were significantly decreased. After 12 weeks treatment (n=12), Padua-ICMA, Y-BOCS, BDI-2, STAI-X1/X2, and BAI scores were also significantly decreased. Conclusions: Traditional Korean medicine is clinically effective in treating OCD.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.1
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• pp.53-68
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• 2023

Objectives : This study was conducted to analyze the Korean Medicine treatment on Tension-type Headache (TTH) in Korean clinical studies. Methods : Articles were searched from four Korean databases(KISS, RISS, OASIS, ScienceON). Study type, publication year, demographic information of participants, intervention type and details, outcome measurements and treatment results of selected articles were analyzed. Results : 17 articles were selected among those published until January 15th 2023. 'Cheonghyulgangki-tang', acupuncture at 'GV20', moxibustion at 'CV12', pharmacopunture at 'GB20', 'ByeolGab' were most frequently used in treatment on TTH. 'Numeric Rating Scale(NRS)' and 'Visual Analog Scale(VAS)' were most frequently used in outcome measurements. All of the articles exhibited that Korean Medicine treatments improved symptoms of TTH. Conclusion : This study showed that various Korean Medicine treatments for TTH were effective. This finding could be used in clinical practice and build the basis for the direction of clinical practice guidelines in future, Nevertheless, this study has few limitations. Further systematic reviews and meta analyses of randomized controlled trials are required for more evidence on Korean Medicine.

• Journal of Physiology & Pathology in Korean Medicine
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• v.36 no.5
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• pp.147-154
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• 2022

In order to secure practising rapid pattern(證, zheng) differentiation against acute infectious diseases like corona virus disease-19(COVID-19) showing rapid variation and contagion, a simplified classification of stages centering on the exterior-interior pattern identification with 2 step-subdivision by cold, heat, deficiency, excess pattern and pathogens is proposed. Pattern differentiation by compound patterns of 8 principles is made for the non-severe stage of general cold and the early mild stage of epidemic disease. Compound pattern's names of 8 principles about external infectious diseases are composed of three stages, that is disease site-characters-etiology. Based on early stage symptoms of fever or chilling etc., exterior, interior and half exterior and half interior patterns are determined first, and then cold, heat, deficiency, excess patterns of exterior and interior pattern respectively are determined, and then more concrete differentiation on pathogens of wind, dryness, dampness and dearth of qi, blood, yin, yang accompanied with constitutional and personal illness factors. Summarizing above descriptions, 4 patterns of exterior cold, exterior heat, exterior deficiency, exterior excess and their secondary compound patterns of exterior cold deficiency and exterior cold excess and so on are classified together with treatment method and available decoction for a standard measure of eight principle pattern differentiation.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.33 no.3
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• pp.142-155
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• 2022

Diagnosis using voice is non-invasive and can be implemented through various voice recording devices; therefore, it can be used as a screening or diagnostic assistant tool for laryngeal voice disease to help clinicians. The development of artificial intelligence algorithms, such as machine learning, led by the latest deep learning technology, began with a binary classification that distinguishes normal and pathological voices; consequently, it has contributed in improving the accuracy of multi-classification to classify various types of pathological voices. However, no conclusions that can be applied in the clinical field have yet been achieved. Most studies on pathological speech classification using speech have used the continuous short vowel /ah/, which is relatively easier than using continuous or running speech. However, continuous speech has the potential to derive more accurate results as additional information can be obtained from the change in the voice signal over time. In this review, explanations of terms related to artificial intelligence research, and the latest trends in machine learning and deep learning algorithms are reviewed; furthermore, the latest research results and limitations are introduced to provide future directions for researchers.