• Journal of rehabilitation welfare engineering & assistive technology
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• v.12 no.1
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• pp.46-52
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• 2018

The purpose of this study was to investigate the factors affecting falls in 107 elderly living in the city aged 65 or older by evaluating general characteristics, chronic disease status, medical variables related to falls, balance-related confidence, physical ability and depression. Also, the correlations between the significant differences in variables were identified, and the prediction power was determined by deriving the variables with high influence to induce the fall. In the faller group, urinary incontinence, foot pain, lower extremity weakness, number of chronic disease and medication use were significantly higher than those of the nonfaller group. Also, statistically significant differences were evaluated in ABC (Activities-specific Balance Confidence) score, BBS (Berg Balance Scale) score, SGDS (Short Geriatric Depression Scale), FRT (Functional Reach Test) value. The main correlated factor for fall was ABC score, the lower the ABC score, fall risk is increased which is a significant negative impact. When the evaluation is performed by combining those scales, the hit ratio to classify whether faller or nonfaller is increased to 70.01% which is quite higher value.

• The Journal of Korean Society for School & Community Health Education
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• v.23 no.1
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• pp.29-40
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• 2022

Objectives: The purpose of this study is to identify the relationship between metabolic syndrome factor diseases and falls in the elderly aged 65 years or older and use them as basic data to reduce the risk of falls. Methods: The method of this study was to compare the injury-related characteristics of the fall and non-fall groups with a factor disease of metabolic syndrome in Korea over 65 years of age. Data from the 14th National Hospital Discharge In-depth Injury Survey in 2018 were used to conduct the study. A total of 7,991 data were analyzed using SPSS 23.0. Results: Among the total injuries, the fall group with metabolic syndrome factor disease accounted for 69.0% and the non-fall group 31.0%. Falls occurred in 86.3% of households. In the fall group with metabolic syndrome factor disease, the number of females was 1.9~2.1 times higher than that of males. Compared to 65~69 years of age, the incidence of falls was 1.4~1.5 times higher in 70~79 years, 1.7~2.2 times higher in 80~89 years, and 2.5~3.6 times higher in 90-year-olds and older. In NISS, the incidence of falls was 1.7 times higher in moderate compared to mild. In principle diagnosis, the incidence of falls was 2.2 times higher in S40-S99 compared to S00-S19. Conclusion: The elderly with metabolic syndrome factor disease should continue to promote health through light exercise that can strengthen muscle strength to prevent falls.

• PNF and Movement
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• v.22 no.1
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• pp.43-54
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• 2024

Purpose: Falls among persons older than 65 years are a significant concern due to their frequency and severity. This study aimed to develop a vest-type embedded artificial intelligence (AI) system capable of detecting and predicting falls in various scenarios. Methods: In this study, we established and developed a vest-type embedded AI system to judge and predict falls in various directions and situations. To train the AI, we collected data using acceleration and gyroscope values from a six-axis sensor attached to the seventh cervical and the second sacral vertebrae of the user, considering accurate motion analysis of the human body. The model was constructed using a neural network-based AI prediction algorithm to anticipate the direction of falls using the collected pedestrian data. Results: We focused on developing a lightweight and efficient fall prediction model for integration into an embedded AI algorithm system, ensuring real-time network optimization. Our results showed that the accuracy of fall occurrence and direction prediction using the trained fall prediction model was 89.0% and 78.8%, respectively. Furthermore, the fall occurrence and direction prediction accuracy of the model quantized for embedded porting was 87.0 % and 75.5 %, respectively. Conclusion: The developed fall detection and prediction system, designed as a vest-type with an embedded AI algorithm, offers the potential to provide real-time feedback to pedestrians in clinical settings and proactively prepare for accidents.

• The Journal of Korean society of community based occupational therapy
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• v.10 no.3
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• pp.27-35
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• 2020

Objective : This study was to examine the effects of general characteristics and fall efficacy on health care program needs through a comparative analysis of general characteristics and health care program needs for the elderly. Methods : In this study, we analyzed data from 118 elderly people with t-test and ANOVA for comparison of fall effectiveness and health care program requirements and with regression for general characteristics and effects of fall effectiveness on health care program needs. Results : The results were as followed: First, there was a significant difference in gender(p=.00), age (p=.00),educational background(p=.00), and existence of spouse(p=.00), and no significant difference in income(p=.17) based on fall efficiency according to the general characteristics. There was a significant difference in gender(p=.00), age(p=.00), educational background(p=.00), and income(p=.00) and no significant difference in existence of spouse (p=.46) based on health care program needs according to the general characteristics. Second, it was shown that the higher age, the higher the income, the higher the effectiveness of the fall, and in case of woman, the more significant the effect of the exercise program had.. The explanation was 56 percent. Third, the higher the age, the higher the income, and the higher the fall efficiency, the more meaningful the cognitive program demand. The explanation was 48 percent. Conclusion : The data from this study showed the importance of fall efficacy in older people with significantly higher risk of falls than in other age groups, and the need for exercise and cognitive management programs to prevent falls.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.2
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• pp.179-188
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• 2009

WIG crafts are a high speed vessel with features of dynamic supported craft. These crafts, which are predominantly of light weight and operate any substantially greater speeds than conventional craft such as bulk carrier, tanker, container ship, etc., could not be accommodated under traditional maritime safety instruments. It means that there is the need for risk and safety levels to be assessed on a holistic basis, recognizing that high levels of operator training, comprehensive and thoroughly implemented procedures, high levels of automation and sophisticated software can all make significant contributions to risk reduction. To response this requirement, the Interim Guideline for WIG craft(MSC/Circ.1054) were developed in the view of the configuration of WIG craft, which fall between the maritime and aviation regulatory regimes. This paper reviews a safety assessment process and methodology to be used in the design phase of a new ship. The process and methodology is based on the risk-based approach and is applied to safety assessment in concept development phase of small WIG craft in the 20-person class.

• Journal of KIBIM
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• v.6 no.2
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• pp.39-46
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• 2016

While institutional matters such as improvement on Basic Guidelines for Construction Safety are greatly concerned to reduce falling accidents at construction sites, there are short of studies on how to practically predict accident signs at construction sites and to preemptively prevent them. As one of existing accident prevention methods, it was attempted to build the early warning system based on standardized accident scenarios to control the situations. However, the investment cost was too high depending on the site situation, and it did not help construction workers directly since it was developed to mainly provide support operational work support to safety managers. In the long run, it would be possible to develop the augmented reality based accident prevention method from the worker perspective by extracting product information from BIM, visually rendering it along with site installation materials term and comparing it with the site situation. However, to make this method effective, the BIM model should be implemented first and the technology that can promptly process site situations should be introduced. Accordingly, it is necessary to identify risk signs through lightweight image processing to promptly respond only with currently available resources. In this study, it was intended to propose the system concept that identified potential risk factors of falling accidents by histogram equalization, which was known as the fastest image processing method presently, used visual words, which could enhance model classification by wording image records, to determine the risk factors and notified them to the work manager.

• Quality Improvement in Health Care
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• v.24 no.2
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• pp.2-14
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• 2018

Purpose: The objective of this study was to report the incidence of falls in hospitals and analyze the risk factors for falls. Methods: This study used data on 1,216 patients who experienced falls from 2015 to 2017 during their hospitalization. The data was collected from the falls incident reports and patient' electronic medical record of hospital. Data were analyzed with descriptive statistics using Chi-square test, Fisher's exact test and multiple Poisson regression analysis with the SAS 9.4 Results: The incidence of falls was 1.38 per 1,000 patients days (2015), 1.81 per 1,000patients days (2016) and 1.99 per 1,000patients days (2017). The incidence of injury caused by falls (level III~V) was 0.05 per 1,000patients days (2015), 0.04 per 1,000patients days (2016) and 0.06 per 1,000patients days (2017). The largest number of falls occurred during night shift (42.5%), specifically in the patients' room (70.8%), and medical unit (66.0%). Average age of fallers was 69.1 years and 61.7% of them were older than 71 years. CCI and the patient's department have statistically significant differences in injury or injury levels from falls, but the integrated nursing care services had no significant difference in injury or injury levels from falls. Conclusion: The result of this study can be used as a reference for establishing a fall prevention strategy for hospitalized patients by presenting index values such as the fall rate.

• Journal of Korean Academy of Nursing
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• v.43 no.5
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• pp.613-625
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• 2013

Purpose: This study was conducted to determine the effects of a fall prevention program on falls, physical function, psychological function, and home environmental safety in frail elders living at home in rural communities. Methods: The design of this study was a nonequivalent control group pre posttest design. The study was conducted from July to November, 2012 with 30 participants in the experimental group and 30 in the control group. Participants were registered at the public health center of E County. The prevention program on falls consisted of laughter therapy, exercise, foot care and education. The program was provided once a week for 8 weeks and each session lasted 80 minutes. Results: The risk score for falls and depression in the experimental group decreased significantly compared with scores for the control group. Compliance with prevention behavior related to falls, knowledge score on falls, safety scores of home environment, physical balance, muscle strength of lower extremities, and self-efficacy for fall prevention significantly increased in the experimental group compared with the control group. Conclusion: These results suggest that the prevention program on falls is effective for the prevention of falls in frail elders living at home.

• The Journal of Korean Physical Therapy
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• v.22 no.4
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• pp.1-6
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• 2010

Purpose: This study was designed to evaluate the clinical utility of the Four square step test (FSST) for predicting falls in stroke patients, to compare the ability of the FSST test to discriminate between subgroups of fallers, and to determine if the test has any predictive value in identifying stroke patients who will fall. Methods: Stroke patients (N=37) who could walk at least 50 m with minimal assistance were recruited consecutively when attending a physical therapy session during their rehabilitation. Dynamic standing balance was measured using the FSST. The main outcome measures were FSST time and fall number. Numbers of falls were compared with FSST scores. Differences between the groups in FSST scores were examined using a t-test and 1-way analysis of variance. Post hoc analysis using the Tukey B procedure was used to identify specific group differences. Alpha was set at 0.05. Results: A total of 15 participants (40.5%) reported falls 6 had recurrent falls (2 falls) and 9 fell once. The mean FSST time differed significantly between groups with zero and multiple falls. A cutoff score of greater than 17 seconds on the FSST was associated with a sensitivity of 83% and a specificity of 84% for the identification of subjects with multiple risk factors for falls. Conclusion: The FSST is a feasible and valid clinical test of dynamic standing balance and can predict falls in post-stroke patients.

• Journal of muscle and joint health
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• v.18 no.1
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• pp.50-62
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• 2011

Purpose: The purpose of this study was to determine the incidence and influencing factors of falls in the institutionalized elderly. Method: A descriptive survey design was used with a convenience sampling of 430 institutionalized elderly. Data were collected using a structured questionnaire. Results: The falls rate after admission in institution was 8.4%. Types of injury after falls were mostly contusion and fracture. Interventions for fall prevention were environmental management and regular evaluation of risk factors for falls. Fall experience was significantly different according to admission periods. Type of falls was significantly different according to state of ADL. Predictors for falls were longer admission periods and dependent state in ADL. Conclusion: Falls is important health related problem in the institutionalized elderly, so effective fall prevention program is needed for their health promotion.