• Journal of the Korean Society of Physical Medicine
• /
• v.2 no.1
• /
• pp.73-84
• /
• 2007

Purpose : The purpose of this study was to determine risk factors and methods in balance assessment associated with fall in older adults. Methods : This article describes many of the tools that can be used to evaluate the physical parameters associated with fall risk in older adults. Results : Composite ratings of performance(Tinetti balance assessment, Guralnik test battery, Berg balance scale, modified-physical performance test) measures the score compounding the balance measure to determine fall risk. Static balance instruments are composed of FICSIT-4 that measures the ability of maintaining foot positions and CTSIB that measures postural stability. Dynamic balance instrument is composed of functional reach test. To measure walking velocity and mobility, 8-foot up-and-go test and walking around two cones are used. We can use 1-RM and to measure muscular strength, isokinetic dynamometery, and 30-second chair stand to measure lower extremity muscle strength. Conclusion : The described instruments are easy to use and widespread. To select and use these tool kits carefully is considered to be helpful in identifying those who are most likely to fall. The final part of the article includes a brief discussion of the potential role of exercise training interventions to improve these physical parameters and prevent falls.

• Journal of Korean Academy of Nursing
• /
• v.38 no.4
• /
• pp.620-628
• /
• 2008

Purpose: The purpose was to identify the effects of a Tai Chi exercise program on physical fitness, fall related perception and health status among institutionalized elderly. Methods: A quasi-experimental research was carried out with a nonequivalent control group pretest-posttest design. There were 23 subjects in the experimental group and 24 in the control group. The data was gathered by structured questionnaires about fall related perception, and health status. Physical fitness was measured by an exercise therapist with a blind principle. Results: At the completion of the 12 weeks Tai Chi exercise program, flexibility (F=4.50, p=.00), and ability to balance (F=3.27, p=.00) had increased significantly. Fall related perception showed significant improvement in the fear of falling (F=-3.52, p=.00). Physical functioning (F=3.38, p=.00), role limitation-physical (F=2.67, p=.01), role limitation-emotional (F=2.47, p=.02). and general health (F=3.88, p=.00) in health status showed significant differences between the two groups. Conclusion: The study findings revealed Tai Chi exercise as a useful nursing intervention for elderly that enhances flexibility and balance, decreases fall related perception and also increases the health status. Further research is warranted to compare the potential effects of Tai Chi exercise and its health benefits from other types of exercise or martial arts.

• Korea Journal of Hospital Management
• /
• v.26 no.4
• /
• pp.29-37
• /
• 2021

Purpose: The purpose of this study is to identify the characteristics and factors affecting falls among elderly inpatients with chronic diseases based on the data from the discharge damage depth survey of the Korea Disease Control and Prevention Agency(KDCA) from 2014 to 2018. Method: The study selected elderly inpatients aged over 65 who were hospitalized(n=1,173). Their data were analyzed after being assigned to either a fall group(KSCD, W00-W19) or a non-fall group. Frequency analysis, cross-tabulation analysis, and binary logistic regression analysis were conducted, using SPSS 28. Results: According to the analysis on category of fall and non-fall group were statistically significant difference in age and having chronic diseases. Based on the binary logistic regression analysis of factors affecting falls, The risk of falls was 1.058 times higher with age, and E11-E14 and I63 as main diagnostic codes, the risk of falls was 2.049 times and 2.437 times higher. Conclusion: It is necessary to develop customized educational manuals and muscle exercise programs considering the characteristics of chronic diseases and to create a safe hospital room environment, and this result is expected to be used as basic data for fall prevention education and manual development for elderly inpatients with chronic diseases.

• Journal of muscle and joint health
• /
• v.20 no.2
• /
• pp.91-101
• /
• 2013

Purpose: The purpose of this study was to investigate the experience of falls and identify risk factors associated with falls. Methods: The participants were 233 community-dwelling elderly people in two cities. Data were collected by interviewing the elderly with structured questionnaires from May to June, 2012. For data analysis, descriptive statistics and multiple logistic regression were performed using SPSS version 17.0. Results: Age, educational level, living arrangement, health status, the use of assistive devices, the number of medication, hypertension, arthralgia, dizziness, fall efficacy, fear of falling, activity of daily living, and quality of life were significant associated with fall experience. Through multiple logistic regression analysis, arthralgia, dizziness, fall efficacy, and fear of falling were identified as significant predictors of falls. Conclusion: It is important to identify the risk factors for falls among the elderly living in community. Fall prevention interventions should be multifactorial, especially for the elderly who were identified as the high risk group.

• Journal of Korea Society of Industrial Information Systems
• /
• v.18 no.4
• /
• pp.19-24
• /
• 2013

The problem of elderly people with weak physical health has become a very important issue in the aging society. Elderly people with very low judgment and decision-making skills often falls because of the degradation of the strength and balance. Due to the fall triggered off fractures, parenchyma damage, and casualties, generally fast emergency treatment is needed. In this paper, an automatic fall detection system consisting of a triaxial accelerometer and tilt sensor. Using the fall system, the performance of the system was analyzed in many situations. The experimental results showed more than 92% analytical skills.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.11
• /
• pp.2546-2553
• /
• 2015

Falling can happen to anyone, anywhere at anytime and especially it is one of the risk factor that can lead causes of death of persons aged 65 and over. Recently, the study of fall detection mechanisms as a smart healthcare service based on the IoT(Internet of Things) are being actively investigated. In this paper, we implement a fall detection system using arduino as a smart sensor communicates with a smart device. When transmitting the information of the acceleration on a sensor smart sensor with a BLE(Bluetooth Low Energy), the smart device processing and analyzing this information. and determines a fall situation. A fall detection system based on the Internet of Things which using smart sensor and smart device, has the advantage of being able to overcome the mobility and portability constraints.

• Journal of Korean Academy of Nursing
• /
• v.35 no.1
• /
• pp.104-112
• /
• 2005

Purpose: This research was conducted to determine the effects of a fall prevention program on knowledge, self-efficacy, prevention activity, and depression in the low-income elderly women. Method: The design of this study was a nonequivalent control group pretest-posttest design. There were 22 subjects in the experimental group and 22 in the control group. A fall prevention program was performed for approximately 40 minutes, once a week for 6 weeks. Results: The results of this study were as follows: There were statistically significant differences of knowledge, self-efficacy, and prevention activity related to falls and depression between the experimental group and control group. Conclusion: In conclusion, the fall prevention program used in this study is appropriate for the elderly, therefore this program is strongly recommended for community-based health and welfare centers.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.19 no.2
• /
• pp.174-180
• /
• 2008

The pulsed amplifier which switches the main supply voltage of RF amplifier according to input pulse signal has good efficiency and low noise level between pulses. And it has simple structure because it doesn't need a pulse modulator at input port. The pulsed amplifier using the conventional switching circuit has slow fall time compared to rise time. We proposed the novel switching circuit for improving the fall time of pulsed amplifier The proposed switching circuit is implemented by replacing FET of conventional circuit with BJT. As a result of appling this circuit to RF pulsed amplifier, the rise and fall time are 5.7 ns and 21.9 ns at 27 dBm output power, respectively.

• Journal of the Korea Convergence Society
• /
• v.9 no.6
• /
• pp.271-277
• /
• 2018

The aim of this study was to select useful items for assessing fall risk in community-dwelling elderly. This study assumed five fall risk factors: Symptoms of falling, physical function, disease and physical symptoms, environment, and behavior and character based on previous studies. The questionnaire consisted of 44 items according to the contents validation, crossover analysis and factor analysis. The Korean version of the Fall Risk Assessment Scale (FRA-K) will be used as a useful tool to improve the fall problems perceived to be serious social problems and to provide important information for prevention of falls.

• Physical Therapy Korea
• /
• v.30 no.2
• /
• pp.102-109
• /
• 2023

Background: While efforts have been made to differentiate fall risk in older adults using wearable devices and clinical methodologies, technologies are still infancy. We applied a decision tree (DT) algorithm using inertial measurement unit (IMU) sensor data and clinical measurements to generate high performance classification models of fall risk of older adults. Objects: This study aims to develop a classification model of fall risk using IMU data and clinical measurements in older adults. Methods: Twenty-six older adults were assessed and categorized into high and low fall risk groups. IMU sensor data were obtained while walking from each group, and features were extracted to be used for a DT algorithm with the Gini index (DT1) and the Entropy index (DT2), which generated classification models to differentiate high and low fall risk groups. Model's performance was compared and presented with accuracy, sensitivity, and specificity. Results: Accuracy, sensitivity and specificity were 77.8%, 80.0%, and 66.7%, respectively, for DT1; and 72.2%, 91.7%, and 33.3%, respectively, for DT2. Conclusion: Our results suggest that the fall risk classification using IMU sensor data obtained during gait has potentials to be developed for practical use. Different machine learning techniques involving larger data set should be warranted for future research and development.