• 지역사회간호학회지
• /
• 제29권4호
• /
• pp.429-439
• /
• 2018

Purpose: The aim of this study is to identify core keyword of frailty research in the past 35 years to understand the structure of knowledge of frailty. Methods: 10,367 frailty articles published between 1981 and April 2016 were retrieved from Web of Science. Keywords from these articles were extracted using Bibexcel and social network analysis was conducted with the occurrence network using NetMiner program. Results: The top five keywords with a high frequency of occurrence include 'disability', 'nursing home', 'sarcopenia', 'exercise', and 'dementia'. Keywords were classified by subheadings of MeSH and the majority of them were included under the healthcare and physical dimensions. The degree centralities of the keywords were arranged in the order of 'long term care' (0.55), 'gait' (0.42), 'physical activity' (0.42), 'quality of life' (0.42), and 'physical performance' (0.38). The betweenness centralities of the keywords were listed in the order of depression' (0.32), 'quality of life' (0.28), 'home care' (0.28), 'geriatric assessment' (0.28), and 'fall' (0.27). The cluster analysis shows that the frailty research field is divided into seven clusters: aging, sarcopenia, inflammation, mortality, frailty index, older people, and physical activity. Conclusion: After reviewing previous research in the 35 years, it has been found that only physical frailty and frailty related to medicine have been emphasized. Further research in psychological, cognitive, social, and environmental frailty is needed to understand frailty in a multifaceted and integrative manner.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2016년도 추계학술대회
• /
• pp.765-767
• /
• 2016

인구 고령화가 급속히 진행되면서 치매인구가 빠른 속도로 증가하고 있다. 치매는 완벽한 치료법이 없기 때문에 경도인지 장애 평가를 통해 조기 발견 및 예방 훈련하는 것이 중요하다. 하지만 경도인지 장애 평가는 수기형태로 평가하기 때문에 도출된 데이터를 활용하기에 한계가 있다. 따라서 기존 방식의 결과 데이터를 통합적으로 관리하고 사용하는 분석 및 저장 시스템이 필수적이다. 본 논문은 경도인지 장애 평가 데이터를 분석 및 저장하기 위한 시스템을 설계하고자 한다.

• 스마트미디어저널
• /
• 제10권2호
• /
• pp.22-29
• /
• 2021

In the past decade, deep learning has been applied to various medical image analysis tasks. Skeletal bone age estimation is clinically important as it can help prevent age-related illness and pave the way for new anti-aging therapies. Recent research has applied deep learning techniques to the task of bone age assessment and achieved positive results. In this paper, we propose a bone age prediction method using a deep convolutional neural network. Specifically, we first train a classification model that automatically localizes the most discriminative region of an image and crops it from the original image. The regions of interest are then used as input for a regression model to estimate the age of the patient. The experiments are conducted on a whole-body scintigraphy dataset that was collected by Chonnam National University Hwasun Hospital. The experimental results illustrate the potential of our proposed method, which has a mean absolute error of 3.35 years. Our proposed framework can be used as a robust supporting tool for clinicians to prevent age-related diseases.

• 대한건축학회논문집:계획계
• /
• 제35권7호
• /
• pp.25-32
• /
• 2019

The purpose of the study is to survey the needs of the elderly for ICT-based Elderly Home Remodeling by Applying Kinetic Principle. This is conducted for elderly people over 60 years old living in Seoul and Gangreung district. The study is performed by the following approaches: First, This study is based on 'the Elements of Planning for ICT-based elderly Home Remodeling by applying Kinetic Principle'(Lee 2018). Second, the needs survey for house remodeling was conducted for elderly. Finally, To analyze the required characteristics of the elderly for remodeling by using SPSS statistics 25 analysis program. The conclusion of this study is as follows. Priority elements for house remodeling should be provided to ensure the safety of the elderly through emergency call buttons, glucometer, pressure-measuring gauge, weighing instruments, and warning devices. Kinetic principles should be applied to make minimal structural changes, as easy as possible remodeling, and devices should be designed to be easy to operate.

• PNF and Movement
• /
• 제12권4호
• /
• pp.217-224
• /
• 2014

Purpose: The purpose of this study is to analyze the hand functions of elderly persons according to their cognitive status and age. Methods: A total of 65 persons voluntarily participated in the study. The subjects were divided into three groups: impairment cognitive group, normal cognitive group, adult group (persons in their twenties). Assessment of cognitive status was performed using a mini-mental state examination for Koreans (MMSE-K). Hand function was assessed using the Purdue pegboard test. The collected data were analyzed using a one-way ANOVA and Pearsonn Acorrelation. Results: There were significant differences in hand functions in the three groups. Post-hoc test results showed significant differences between each group. There were statistically significant differences in the correlation among hand functions, cognitive status, and age. The findings of this study suggest that hand functions have a positive correlation with cognitive status. However, a negative correlation was found between hand function and age. Conclusion: According to the study's results, hand functions are correlated with age and cognitive functions in elderly persons. This study suggests that hand rehabilitation with cognitive intervention increases hand functions in elderly persons.

• 한국BIM학회 논문집
• /
• 제10권2호
• /
• pp.21-28
• /
• 2020

As the number of aging bridges increases, more studies are being conducted on developing effective and reliable methods for the assessment and maintenance of bridges. With the advancement in new sensing systems and data learning techniques through AI technology, there is growing interests in how to evaluate bridges using these advanced techniques. This paper presents a CNN(Convolution Neural Network) deep learning based technique for evaluating the damage existence and for estimating the damage location in PSC bridges using static strain data. Simulation studies were conducted to investigate the proposed method with error analysis. Damage was simulated as the reduction in the stiffness of a finite element. A data learning model was constructed by applying the CNN technique as a type of deep learning. The damage status and its location were estimated using data set built through simulation. It was assumed that the strain gauges were installed in a regular interval under the PSC bridge girders. In order to increase the accuracy in evaluating damage, the squared error between the intact and measured strains are computed and applied for training the data model. Considering the damage occurring near the supports, the results of error analysis were compared according to whether strain data near the supports were included.

• The Journal of Korean Physical Therapy
• /
• 제35권3호
• /
• pp.64-70
• /
• 2023

Purpose: This study investigated the influence of attention-demanding tasks on gait and measured differences in the temporal, spatial and kinematic characteristics between young healthy adults and elderly healthy adults. Methods: We recruited 16 healthy young adults and 15 healthy elderly adults in this study. All participants performed two cognitive tasks: a subtraction dual-task (SDT) and working memory dual-task (WMDT) during gait plus one normal gait. Using the LEGSys+ system, knee and hip-joint kinematic data during stance and swing phase and spatiotemporal parameter data were assessed in this study. Results: In the elderly adult group, attention-demanding tasks with gait showed a significant decrease in hip-joint motion during the stance phase, compared to the normal gait. Step length, stride length and stride velocity of the elderly adult group were significantly decreased in WMDT gait compared to normal gait (p<0.05). In the young adult group, kinematic data did not show any significant difference. However, stride velocity and cadence during SDT and WMDT gaits were significantly decreased compared to those of normal gait (p<0.05). Conclusion: We determined that attention-demanding tasks during gait in elderly adults can induce decreased hip-joint motion during stance phase and decreased gait speed and stride length to maintain balance and prevent risk of falling. We believe that understanding the changes during gait in older ages, particularly during attention-demanding tasks, would be helpful for intervention strategies and improved risk assessment.

• 한국안전학회지
• /
• 제38권1호
• /
• pp.9-17
• /
• 2023

In this study, we aimed to identify the important hazard factors and determine their criticality in causing serious accidents in vehicle-mounted mobile elevated work platforms (MEWPs). Fuzzy failure modes and effects analysis (FMEA)was performed using accident data and a survey of experts. To determine the hazard factors, the accident data for the last 10 years were used and a questionnaire survey was designed. The questionnaire survey was sent to four experts in the field of occupational safety to determine the severity, occurrence, and detectability of serious accidents in MEWPs. Furthermore, objective RPN scores and risk priority were obtained using fuzzy FMEA. Finally, the criticality of hazard factors in descending order was found to be overloading, non-installation or defective installation of outriggers, breakage due to wire rope aging, and illegal remodeling of vehicle structures. The results were verified by comparing the occurrence data of serious disasters.

• 한국지진공학회논문집
• /
• 제27권6호
• /
• pp.331-337
• /
• 2023

Due to the aging of a building, 38.8% (about 2.82 million buildings) of the total buildings are old for more than 30 years after completion and are located in a blind spot for an inspection, except for buildings subject to regular legal inspection (about 3%). Such existing buildings require users to self-inspect themselves and make efforts to take preemptive risks. The scope of this study was defined as the general public's visual self-inspection of buildings and was limited to structural members that affect the structural stability of old buildings. This study categorized possible damage to reinforced concrete to check the structural safety of buildings and proposed a checklist to prevent the damage. A damage assessment methodology was presented during the inspection, and a self-inspection scenario was tested through a chatbot connection. It is believed that it can increase the accessibility and convenience of non-experts and induce equalized results when performing inspections, according to the chatbot guide.

• Nutrition Research and Practice
• /
• 제18권1호
• /
• pp.88-97
• /
• 2024

BACKGROUND/OBJECTIVES: Mitigating insulin resistance and hyperglycemia is associated with a decreased risk of diabetic complications. The effect of Daraesoon (shoot of hardy kiwi, Actinidia arguta) on hyperglycemia was investigated using a type 2 diabetes animal model. MATERIALS/METHODS: Seven-week-old db/db mice were fed either an AIN-93G diet or a diet containing 0.4% of a 70% ethanol extract of Daraesoon, whereas db/+ mice were fed the AIN-93G diet for 7 weeks. RESULTS: Consumption of Daraesoon significantly reduced serum glucose and blood glycated hemoglobin levels, along with homeostasis model assessment for insulin resistance in db/db mice. Conversely, Daraesoon elevated the serum adiponectin levels compared to the db/db control group. Furthermore, Daraesoon significantly decreased both serum and hepatic triglyceride levels, as well as serum total cholesterol levels. Additionally, consumption of Daraesoon resulted in decreased hepatic tumor necrosis factor-α and monocyte chemoattractant protein-1 expression. CONCLUSIONS: These results suggest that hypoglycemic effect of Daraesoon is mediated through the improvement of insulin resistance and the downregulation of pro-inflammatory cytokine expression in db/db mice.