• 제목/요약/키워드: Accidental Fall

검색결과 106건 처리시간 0.021초

Vest-type System on Machine Learning-based Algorithm to Detect and Predict Falls

  • Ho-Chul Kim;Ho-Seong Hwang;Kwon-Hee Lee;Min-Hee Kim
    • PNF and Movement
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    • 제22권1호
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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.

요양병원 간병사의 낙상예방효능감과 낙상예방건강신념이 낙상예방인지도에 미치는 영향 (Effects of Long Term Care Hospital Care-givers' Fall Prevention Self Efficacy and Fall Prevention Health Belief on Fall Prevention Awareness)

  • 정지영;박윤지;정계현
    • 한국콘텐츠학회논문지
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    • 제15권2호
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    • pp.333-343
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    • 2015
  • 본 연구는 요양병원 간병사의 낙상예방인지도에 미치는 영향요인을 파악하기 위한 서술적 조사연구이다. 자료수집기간은 2014년 7월 1일부터 8월 31일까지였다. D광역시와 N시에 소재하는 7개 요양병원의 간병사를 대상으로 편의 표집 하였다. 수집된 자료 215부 중 200부를 분석에 이용하였다. 연구결과 첫째, 요양병원 간병사의 학력, 요양보호사 자격증 유무, 근무경력과 낙상관련 교육시간에 따른 낙상예방인지도에서 유의한 차이가 있었다. 둘째, 낙상예방건강신념 중 지각된유익성, 지각된장애성, 지각된민감성과 낙상예방효능감은 낙상예방인지도와 유의한 양의 상관관계가 있었다. 셋째, 요양병원 간병사에게 영향을 주는 개인적 특성을 통제한 상태에서 위계적 회귀분석한 결과, 정적영향요인은 지각된유익성, 낙상예방효능감, 지각된민감성, 부적영향요인은 근무경력으로 나타났으며, 이들 변수의 낙상예상인지도에 대한 설명력은 31.7%였다. 이러한 결과로 요양병원 간병사의 낙상예방인지도를 증가시키기 위해 간병사의 근무경력에 따른 낙상예방효능감과 건강신념 중 지각된 유익성과 지각된 민감성을 높일 수 있는 프로그램을 적극 모색해야할 것이다.

입원 환자 낙상예방 간호중재 효과에 대한 메타분석 (Effects of Nursing Interventions for Fall Prevention in Hospitalized Patients: A Meta-analysis)

  • 김윤이;정석희
    • 대한간호학회지
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    • 제45권4호
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    • pp.469-482
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    • 2015
  • Purpose: The purpose of this study was to identify which nursing interventions are the most effective in fall prevention for hospitalized patients. Methods: From 3,675 papers searched, 34 were selected for inclusion in the meta-analysis. Number of fallers, falls, falls per 1,000 hospital-days, and injurious falls, fall protection activity, knowledge related to falls, and self-efficacy about falls were evaluated as outcome variables. Data were analyzed using the Comprehensive Meta Analysis (CMA) 2.2 Version program and the effect sizes were shown as the Odd Ratio (OR) and Hedges's g. Results: Overall effect size of nursing interventions for fall prevention was OR=0.64 (95% CI: 0.57~0.73, p <.05) and Hedges's g= - 0.24. The effect sizes (OR) of each intervention ranged from 0.34 to 0.93, and the most effective nursing intervention was the education & environment intervention (OR=0.34, 95% CI: 0.28~0.42, p<.001), followed by education intervention (OR=0.57, 95% CI: 0.50~0.67, p=.001). Subgroup analyses showed that multifaceted interventions (OR=0.76, 95% CI: 0.73~0.79, p<.001) were more effective than unifactorial interventions, and that activities for prevention of falls (OR=0.08, 95% CI: 0.05~0.15, p<.001) showed the largest effect size among outcome variables. Conclusion: Falls in hospitalized patients can be effectively prevented using the nursing interventions identified in this study. These findings provide scientific evidence for developing and using effective nursing interventions to improve the safety of hospitalized patients.

하지보조기 사용 골절환자를 위한 낙상예방교육이 보조기 사용관련 변수 및 낙상공포감에 미치는 효과 (Effects of Fall Prevention Education on the Variables Related to Using Orthosis and Fear of Falling in Fracture Patients Wearing the Leg Orthosis)

  • 차경숙;백승미;조옥희
    • 근관절건강학회지
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    • 제19권2호
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    • pp.131-141
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    • 2012
  • Purpose: The purpose of this study was to test the change of study variables (knowledge, efficacy, and fatigue) related to using orthosis and fear of falling in fracture patients wearing the leg orthosis after fall prevention education in terms of educational method and frequency. Methods: Participants were 87 fracture patients wearing the leg orthosis. Experimental I group (n=30) and experimental II group (n=27) received the fall prevention education once and three times respectively with leaflets. Experimental III group (n=30) received video training once. Results: The level of the subjects' knowledge was significantly increased in experimental I and II groups rather than in experimental III group. In case of experimental I and experimental II group, fear of falling was decreased when compared to experimental III group. However, there were no significant changes in efficacy and fatigue related to using orthosis among three groups. Conclusion: The fall prevention education using leaflets was more effective than video training method. Only one education with leaflets was effective enough. Therefore, it is recommended that the education with leaflets or pamphlets should be developed systematically according to the characteristics of fracture patients wearing the leg orthosis.

안드로이드 스마트폰 환경에서 속도벡터를 이용한 넘어짐 방향 판단 기법 (Detection of Fall Direction using a Velocity Vector in the Android Smartphone Environment)

  • 이우식;송특섭
    • 한국정보통신학회논문지
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    • 제19권2호
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    • pp.336-342
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    • 2015
  • 넘어짐은 노인이나 산업현장에서 일하는 사람들에게 심각한 부상을 일으키는 원인이 되기 때문에 센서를 사용하여 넘어짐을 판단하고자 하는 연구가 활발히 진행되고 있다. 최근 들어 스마트폰의 보급이 일반화 되면서 스마트 폰에 내장된 센서를 사용하여 넘어짐을 판단하는 방법이 연구되고 있다. 가속도 센서에서 추출된 가속도벡터의 변화량을 분석하면 넘어짐은 어렵지 않게 판단할 수 있지만, 넘어지는 방향을 판단하기 위해서는 가속도벡터의 크기의 변화나 방향으로의 변화로 판단하기 어렵다. 일반적으로 가속도 벡터의 방향은 물체의 움직임의 방향을 의미하지 않기 때문이다. 한편, 속도 벡터는 물체가 움직이는 방향의 접선방향으로 나타나는 성질을 사용하여 넘어지는 방향을 판단하는 방법을 제안하였다.

Receiver operating characteristic curve analysis of the timed up and go test as a predictive tool for fall risk in persons with stroke: a retrospective study

  • Lim, Seung-yeop;Lee, Byung-jun;Lee, Wan-hee
    • Physical Therapy Rehabilitation Science
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    • 제7권2호
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    • pp.54-60
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    • 2018
  • Objective: Persons with chronic stroke fall more often than healthy elderly individuals. The Timed Up and Go test (TUG) is used as a fall prediction tool, but only provides a result for the total measurement time. This study aimed to determine the optimal cut-off values for each of the 6 components of the TUG. Design: Retrospective study. Methods: Thirty persons with chronic stroke participated in the study. TUG evaluation was performed using a wearable miniaturized inertial sensor. Sensitivity, specificity, and predictive values were calculated using the Receiver Operating Characteristic (ROC) curve analysis for the measured values in each section. Optimal values for fall risk classification were determined. Logistic regression analysis was used to investigate the risk of future falls based on TUG. Results: The cut-off values of the 6 sections of the TUG were determined, as follows: sit-to-stand >2.00 seconds (p<0.05), forward gait >4.68 seconds (p<0.05), mid-turn >3.82 seconds (p<0.05), return gait >4.81 seconds (p<0.05), end-turn >2.95 seconds (p<0.05), and stand-to-sit >2.13 seconds (p<0.05). The risk of falling increased by 2.278 times when the mid-turn value was >3.82 seconds (p<0.05). Conclusions: The risk of falls increased by 2.28 times when the value of the mid-turn interval exceeded 3.82 seconds. Therefore, when interpreting TUG results, the predictive accuracy for falls will be higher when the measurement time for each section is analyzed, together with the total time for TUG.

노인전문병원에 입원한 뇌졸중환자의 복용약물과 관련된 낙상 위험요인 (Medication Use as a Risk Factor for Falls among Hospitalized Stroke Patients)

  • 송경애;조옥희;박미화
    • 기본간호학회지
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    • 제13권1호
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    • pp.60-67
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    • 2006
  • Purpose: To identify the relationship between medication use and falls among hospitalized stroke patients. Method: The medical records of 472 patients with strokes were reviewed using a questionnaire on falling developed by the authors. Frequencies, percentages, means, standard deviations, and t-test and ${\chi}^2$-test, multiple logistic regression analysis were done using the SAS program. Results: The rate for falls by the patients during their stay in the hospital was 14.0%. The length of stay was longer and the morbidity duration of stroke shorter in the fall group than in the non-fall group. The use of sedatives, laxatives, and antidepressants was a significant predictor of falls and was associated with increase likelihood of falling(1.82, 1.81, 1.75 times respectively). Conclusion: In hospitalized stroke patients, there was a significant association between the use of sedatives, laxatives, antidepressants and falls. The number and kinds of ingested drugs was also associated with falls. It is necessary to further analyze the causes of falls based on results of the present study.

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상급종합병원 입원환자의 낙상 후 상해 실태 및 상해에 영향을 미치는 요인 (Factors Associated with Injuries after Inpatient Falls in a Tertiary Hospital)

  • 조문숙;이향열
    • 임상간호연구
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    • 제23권2호
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    • pp.202-210
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    • 2017
  • Purpose: In this study an investigation was done of injuries from inpatient falls and diagnostic tests and treatment after falls to identify what factors affect the occurrence of injury from inpatient falls in a tertiary hospital. Methods: Data for this cross-sectional study were retrieved for 428 fall events from data reported between January 1 and December 31, 2015 and were retrieved from the patient-safety reporting system in the hospital's electronic health records. A multivariate logistic regression model was developed with STATA 13.0. Results: Of the patients, 197 (46.0%) had physical injuries due to falls, 119 (27.8%) were given further diagnostic tests, and 358 (83.6%) received treatment including close observation after inpatient falls. Logistic-regression results identified that age, department, and risk factors had significant impact on injuries from falls. Conclusion: Findings indicate that to reduce the severity of injury after inpatient falls, each hospital should regularly evaluate identified factors, design fall-prevention practices specialized for elders and vulnerable patients, and initiate environmental and equipment innovations.

소아 낙상위험 측정도구 (Humpty Dumpty Falls Scale) 평가: 전자의무기록을 이용하여 (Evaluation of the Humpty Dumpty Falls Scale: An Analysis of Electronic Medical Records)

  • 조윤희;김영주
    • 임상간호연구
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    • 제25권2호
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    • pp.142-150
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    • 2019
  • Purpose: The aim of this study was to evaluate the efficiency of the Humpty Dumpty Falls Scale as one of the falls risk assessment tools, and also to evaluate risk factors as predictors of falls in pediatric patient populations. Methods: In a retrospective, case-control design with data from the electronic medical records of 13 pediatric patients who fell and 1,941 who did not fall before matching and 429 who did not fall after matching by gender, age, diagnosis, and length of stay. Results: All the variables showed no significant differences after matching. At the cutoff score of 13, sensitivity, specificity, negative and positive predictive values were 92.3%, 37.1%, 99.9%, and 0.01%, respectively. The area under the Receiver Operating Characteristics was 0.597. The results from the logistic regression showed that the pediatric inpatient population who had higher risk scores was significantly associated with falls. The odds ratios ranged from 1.31 to 4.71 with 90% confidence interval. Conclusion: The saturation impairments criterion as one of the diagnostic parameter was negatively associated with falls, but the relative risk score was higher than the other criteria. Therefore, it seems that the diagnostic parameter seems to be required to verify results through large sample studies.

상급종합병원 입원환자의 낙상 위험요인: 생존분석으로 (Risk Factors for Falls in Tertiary Hospital Inpatients: A Survival Analysis)

  • 조영신;이영옥;윤영순
    • 중환자간호학회지
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    • 제12권1호
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    • pp.57-70
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    • 2019
  • Purpose : The purpose of this study was to identify the risk factors for falls in tertiary hospital inpatients and to suggest data for developing a nursing intervention program for preventing falls. Methods: Data were collected between January 1, 2017, to December 31, 2017. Kaplan-Meier estimation was used to measure the survival rate, and the log-rank test was used for the differences between the fall group and the non-fall group. The Cox proportional hazards model was used to identify the risk factors for falls. Results: The incidence rate of falls for the inpatients was 1.2 cases per 1,000 days of hospitalization. The risk factors for falls were more likely to be found among those who were aged ${\geq}81$, had not undergone surgery, had poor joint motion, had unsteady gait, needed help or supervision, used assistive devices, had comorbidity, and took at least two drugs. Conclusion: For the inpatients, the risk factors for falls included age, surgery, comorbidity, medication that could change mobility, joint motion, and use of patient care equipment. It is necessary to give special attention to inpatients who have any of these risk factors and to develop a falls risk assessment tool.