• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1968-1970
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• 2003

In this paper we propose a system to forecast the dangerous behavior of the dementia patients. Basic idea of our approach is to measure the body movements of the dementia patients using the acceleration sensor. Based on the data measured, warning the care-givers about possible dangerous actions like falling down from the bed and slipping down onto the floor to some extent. The signals measured by the acceleration sensor are processed by a one-chip computer. Based on the diagnosis of the one-chip computer , alert signal is generated to the care-giver by a wire-less signal. The sensor is implemented in a compact body . Applicability of the system is now being examined at a nursing home.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1755-1758
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• 2022

One of the most negative social changes of the last decade is population aging which leads to 19 times more patients with Mild Cognitive Disorder(MCI). It is well established that MCI is the most important state that can prevent dementia with early diagnosis and intervention. However, the social security system for patients with dementia is not working properly due to the coronavirus pandemic and the limited human power. This article proposes a form of workbench and design principles for dementia training programs of extended reality devices. and the findings in this study provide a guide for considering the cognitive and physical and social functions of patients.

• Health Policy and Management
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• v.9 no.1
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• pp.30-71
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• 1999

There has been a dramatic increase in public awareness regarding dementia during recent years. However, dementia remains a family affair and patients do not receive adequate care in Korea. This study aims to assist patients and their caregivers by establishing Home and Community based Long-Term Care in a city. The data collected for analysis include five main categories: dementia prevalence, limitations of daily activities of patients, burden of caregivers, the services that patient's family want to utilize, the resources that handle dementia in the community. Major findings can be summarized as follows: 1)The prevalence rate of dementia for elderly people is 13.1 per 100 persons. Alzheimer's disease amount to 38.9% of dementia patients and vascular dementia account for 36.7% of them 2)Eight out of ten patients have mild dementia. Almost all patients have normal ADL. IADL, however, shows different picture. In every items of IADL, about 60% of patients reveals some limitations. 3)The proportion of patients who had medical diagnosis is as low as 20%. Families of patients think dementia as normal aging process and medical doctors in the community do not give special concern to dementia patients. 4)Caregivers does not have proper social support. They suffer from long care time, experience large obstacles in respect of health, daily living, and social activity. 5)Health center and Community welfare center have launched some programs-consultation, home-visiting nursing, day care center, voluntary force mobilization and so on-for dementia patients. But they do not perform expected roles and functions because of lack of skilled personnels and inadequate coordination of relevant organizations for dementia care. 6)Families of dementia patients prefer home helper and home-visiting nurse to hospitalization. For the future, however, demand for institution-based long-term services will increase. We develope community dementia care model based on above findings as follows: 1)Health center execute community cardiovascular control program for the prevention of vascular dementia. 2)Refer to epidemiologic characteristics of patients and preference of family, the most urgent task for dementia care in this city is to expand and organize Home and Community based Long-Term Care. 3)For the continuous and comprehensive care, care plan for a patient must be prepared. Case management team should be builded to prepare this plan and coordinate relevant resources. 4)Special long-term care unit for dementia will be needed in a near future. This unit should have multiple functions, such as day-care center, short stay facility, training center for relevant personnels, besides long-term nursing home considering effective care of dementia and efficient operation of the facility. 5)Voluntary workers deserve their due efforts. Incentive mechanisms must be developed to activate voluntary activities.

• Information Systems Review
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• v.26 no.2
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• pp.137-153
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• 2024

This study aimed to propose early diagnosis and management of dementia, which is increasing in aging societies, and suggest commercial utilization strategies by leveraging digital healthcare technologies, particularly lifelog data collected from wearable devices. By introducing new approaches to dementia prevention and management, this study sought to contribute to the field of dementia prediction and prevention. The research utilized 12,184 pieces of lifelog information (sleep and activity data) and dementia diagnosis data collected from 174 individuals aged between 60 and 80, based on medical pathological diagnoses. During the research process, a multidimensional dataset including sleep and activity data was standardized, and various machine learning algorithms were analyzed, with the random forest model showing the highest ROC-AUC score, indicating superior performance. Furthermore, an ablation test was conducted to evaluate the impact of excluding variables related to sleep and activity on the model's predictive power, confirming that regular sleep and activity have a significant influence on dementia prevention. Lastly, by exploring the potential for commercial utilization strategies of the developed model, the study proposed new directions for the commercial spread of dementia prevention systems.

• Journal of Haehwa Medicine
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• v.12 no.2
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• pp.11-40
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• 2004

This study analyzed the contents of the research papers concerning the vascular dementia(VD) recorded in Chinese medical journal published over the period between 1998 and 2000. As a result, the following conclusion was drawn. The Chinese medical category of VD includes Sun-Mang(善忘), Chi-Mae, Jung-Pung-Chi-Mae and so on, and the Major mechanism of the VD is Bon-Heo- Pyo-Sil(state of deficient vital essence and excessive pestilential vapor;本虛標實), Bon(本) includes Sin-Jeong-Heo-Son(腎精虧損), Ki-Hyeol-Hyu-Heo(氣血虧虛) and Pyo(標) includes Dam-Chae-Eo-Jo(痰滯瘀阻), Ki-Chae-Hyeol-Eo(氣滯血瘀), Gan-Yang-Sang-Hang(肝陽上亢). It is mainly used DSM and evidence of brain-vascular disease in brain CT or MRI as the criterion for diagnosis in Western medicine and MMSE, HDS, ADL is used as assistant diagnostic indicator. "Principle of clinical study guidance for treatment of dementia by Chinese medicine, Western medicine"("中藥新藥治療痴呆 病的臨床硏究指導原則") is mainly used as the criterion for diagnosis in Chinese medicine. It is mainly used "Principle of clinical study guidance for treatment of senile disease by Chinese medicine, Western medicine"("中藥新藥治療老年病臨床硏究指導原則"), "Principle of clinical study guidance for treatment of dementia by Chinese medicine, Western medicine" as the criterion for treatment effect evaluation, and score change of MMSE and HDS is used as assistant evaluation indicator. The research papers reported that the use of prescriptions such as Hwan-Chong-Dan(還聰丹), Noi-Hyeol-So-Tong-Gu-Bok-Yaek(腦血疏通口服液), Yik-Gi-Gyo-Nang(益智膠囊), Cheon-Ma-Chok-Gi-Chung-Je(天麻促智沖劑), Sam-Gap-San-Ga-Mi-Bang(三甲散加味方), Seon-Ryong-Gyo-Nang(仙龍膠囊), Seong-Noi-Tang II(醒腦湯II號), Bo-Sin-Geon-Noi-Tang(補腎健腦湯), Ga-Mi-Tong-Gyu-Hyal-Hyeol-Tang(加味通竅活血湯), So-Jo-Yik-Ji-Bang(疏調益智方), Tong-Gyu-Hwal-Hyeol-Tang-Ga-Gam(通竅活血湯加減), Yik-Sin-Seong-Noi-Tang(益腎醒腦湯) led to the high efficacy.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.305-315
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• 2020

As the incidence and prevalence of dementia increases with our aging population, so does the social burden on our society, which calls for a special emphasis on need for early diagnosis. Thus, efforts are made to prevent dementia and early detection but with current diagnostic measures, these efforts appear futile. As a solution, it is crucial to integrate and standardize healthcare big data and analysis of each index. In order to increase use of large database, the Korea National Assembly passed the Data 3 Act focusing on open-access and sharing of database, but a follow-up legislation is needed a for safer utilization. In this study, we have identified number of foreign of foreign policies through review of prior researches on the topic leading to specific enforcement ordinances tailored to the Data 3 Act for safe access and utilization of database. We also aimed to establish secure process of data collection and disposal as well as governance at the national level to ensure safe utilization of healthcare big data.

• Korean Journal of Veterinary Research
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• v.62 no.3
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• pp.25.1-25.9
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• 2022

Canine cognitive dysfunction syndrome (CDS) is a neurodegenerative disease that causes cognitive and behavioral disorders and reduces the quality of life in dogs and their guardians. This study reviewed the complementary and alternative medicine (CAM) for CDS and compared the diagnosis and therapy of CAM between CDS in canines and dementia in humans. The evaluation tools for the diagnosis of CDS and dementia were similar in the neurological and neuropsychiatric examinations, daily life activity, cognitive tests, and neuroimaging, but the evaluation for dementia was further subdivided. In CAM, pattern identification is a diagnostic method for accurate, personalized treatment, such as herbal medicine. For herbal medicine treatment of cognitive impairment in canines and humans, a similar pattern identification classified as deficiency (Qi, blood, and Yin) and Excess (phlegm, Qi stagnation, and blood stasis) is being used. However, the veterinary clinical basis for verifying the efficacy and safety of CAM therapies for CDS is limited. Therefore, based on CAM evidence in dementia, it is necessary to establish CDS-targeted CAM diagnostic methods and therapeutic techniques considering the anatomical, physiological, and pathological characteristics of dogs.

• Journal of Oriental Neuropsychiatry
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• v.33 no.4
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• pp.377-388
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• 2022

Objectives: For diagnosis and evaluation, evaluation tools are needed. Various tools can be used to diagnose and evaluate mental disorders. Among them, psychological tests are widely used. For Korean Standard Classification of Diseases (KCD) diagnosis, psychological tests are also required. Currently developed critical pathway (CP) presented tools for diagnosis and evaluation of mental disorders. The CP suggests the use of tools based on the Clinical Practice Guideline (CPG). Therefore, CPG-based tools should be able to be used in the clinical scene of Korean Medicine for diagnosing and evaluating mental disorders according to CP. Methods: Tools suggested by CPs are summarized. The degree of utilization of tools in CPGs is also summarized. A review was conducted by Korean Medicine neuropsychiatrist experts on tools and user's usage plan. Results: As a result, developed CPs suggested using 19 tools for anxiety disorder, 13 tools for insomnia), 12 tools for Hwabyeong, and 9 tools for dementia. In CPG, 48, 34, 44, and 44 tools were used for anxiety disorder, insomnia, Hwabyeong, and dementia, respectively. Among tools presented in CP, HAM-A, HAM-D, CGI, SAS, and TESS for anxiety disorder, CPG, ISI, and PSQI for insomnia disorder, CPG, STAI, and STAXI for Hwabyeong were frequently used in CPG. For dementia CPG, MoCA, MMSE, HDS, ADL, and ADAS-cog were frequently used. Among them, MoCA, ADL, and ADAS-cog were suggested tools in CP. Conclusions: As a result of analyzing tools suggested and used in the developed CPs and CPGs, it was verified that various tools were used in each study. Most of them were symptom and behavioral evaluation scales. Therefore, symptoms and behavior evaluation scales used more frequently should be able to be used in the clinical scene of Korean Medicine.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.517-527
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• 2022

This study aimed to compare changes in cognitive function, depression and ability to perform activity of daily living (ADL) in patients with dementia, mild cognitive impairment (MCI), and ischemic stroke (IS) and to identify factors associated with changes in instrumental ADL. A total of 86 patients (dementia=30, MCI=32, and IS=24) were included to analyse cognitive function, depression, and basic and instrumental ADL obtained at the time of diagnosis and 1 year after baseline. Repeated measures analysis of variance and multiple linear regression were used. A significant group by time interaction was found in executive function (p=.037) and instrumental ADL (p=.023) across groups. The MCI group has little change in executive function and instrumental ADL from the baseline to 1 year after diagnosis while other two groups showed changes with the dementia group showing declines and the group of IS having improvement in these factors over time. Changes in executive function(p=.030) and basic ADL (p<.001) explained 26.9% in the variance of changes in instrumental ADL. These findings showed a different changing pattern in executive function during the first year after diagnosis of dementia, MCI, and IS which have cognitive changes as their main symptoms, probably leading to a different changing pattern in instrumental ADL. Healthcare professionals should routinely assess for executive function and instrumental ADL problems and intervene to maintain and improve these functional outcomes immediately after disease.

• Annals of Clinical Neurophysiology
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• v.23 no.1
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• pp.7-16
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• 2021

Transcranial magnetic stimulation (TMS) is a safe and noninvasive tool for investigating the cortical excitability of the human brain and the neurophysiological functions of GABAergic, glutamatergic, and cholinergic neural circuits. Neurophysiological biomarkers based on TMS parameters can provide information on the pathophysiology of dementia, and be used to diagnose Alzheimer's disease and differentiate different types of dementia. This review introduces the basic principles of TMS, TMS devices and stimulating paradigms, several neurophysiological measurements, and the clinical implications of TMS for Alzheimer's disease.