• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.51-62
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• 2022

This study suggests a design of predictive modeling for a hospital fall risk based on inpatients' posture. Inpatient's profile, medical history, and body measurement data along with basic information about a bed they use, were used to predict a fall risk and suggest an algorithm to determine the level of risk. Fall risk prediction is largely divided into two parts: a real-time fall risk evaluation and a qualitative fall risk exposure assessment, which is mostly based on the inpatient's profile. The former is carried out by recognizing an inpatient's posture in bed and extracting rule-based information to measure fall risk while the latter is conducted by medical staff who examines an inpatient's health status related to hospital fall risk and assesses the level of risk exposure. The inpatient fall risk is determined using a sigmoid function with recognized inpatient posture information, body measurement data and qualitative risk assessment results combined. The procedure and prediction model suggested in this study is expected to significantly contribute to tailored services for inpatients and help ensure hospital fall prevention and inpatient safety.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1406-1409
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• 2010

본 연구에서는 호출기를 착용한 환자가 낙상/전도 사고를 당했을 때, 자동으로 구조요청 하는 시스템을 개발하고자 한다. 자동 호출기에는 사고의 감지, 사고발생 위치의 추적, 관제센터로의 통신 등의 기능이 필요하다. 이를 위해 3축 가속도센서를 탑재하고, 낙상판단 알고리즘을 구현하여, MCU에 포팅하고, RF 송수신기와 알람을 집적하였다. 자동 호출기와 관제소와의 통신방법으로는 400MHz 대역의 RF 송수신기를 채택하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.984-985
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• 2023

노인 및 거동 불편 환자들이 목욕 중 낙상 사고 등을 당하는 비율은 매년 증가하고 있다. 특히 국내 65세 이상 1인 가구 197만 가구는(22년 기준) 가족의 돌봄 없이 혼자 생활하고 있어, 이들이 목욕 중에 사고를 당하는 경우, 빠른 구호가 어려운 상황이다. 이에 본 논문에서는 독거노인의 증가와 낙상 사고의 위험성에 초점을 맞추어 거동이 불편한 환자라도 혼자서 목욕이 가능한, 모든 사용자로부터 접근성을 높인 샤워 부스를 개발 및 연구한다. 요양보호사 두 명과 인터뷰를 하여 실제 상황에서의 문제점을 파악한다. 인터뷰 내용을 바탕으로 사용자의 안전을 1순위로 고려하고, 사용 편의성 및 청결을 유지하는 방안을 고려한다.

• Journal of IKEEE
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• v.18 no.1
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• pp.134-139
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• 2014

According to survey, more than 57.2% of the fall which is the most frequent safety accident of the elders takes place at home. This research aims to verify the fall by measuring and analyzing the floor vibration. And the vibration sensor module was designed with piezo film sensor and operation amplifier. The vibration signals are converted to digital signals through the data acquisition device and vibration sensor module. And then modified the signals into frequency domain to obtain characteristic vibration data. The characteristic signals are verified by K-Nearest Neighbor verification, and experimental results shows the recognition rate 93.6%. Also the fall detection sensor module is useful for extract the meaningful data for fall detection. 10 persons are participated for this experiment.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.526-532
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• 2023

Falls are fatal accidents that occur more than 420,000 times a year worldwide. Therefore, to study patients with falls, we found the association between extrinsic injury codes and principal diagnosis S-codes of patients with falls, and developed a prediction model to predict extrinsic injury codes based on the data of principal diagnosis S-codes of patients with falls. In this study, we received two years of data from 2020 and 2021 from Institution A, located in Gangneung City, Gangwon Special Self-Governing Province, and extracted only the data from W00 to W19 of the extrinsic injury codes related to falls, and developed a prediction model using W01, W10, W13, and W18 of the extrinsic injury codes of falls, which had enough principal diagnosis S-codes to develop a prediction model. 80% of the data were categorized as training data and 20% as testing data. The model was developed using MLP (Multi-Layer Perceptron) with 6 variables (gender, age, principal diagnosis S-code, surgery, hospitalization, and alcohol consumption) in the input layer, 2 hidden layers with 64 nodes, and an output layer with 4 nodes for W01, W10, W13, and W18 exogenous damage codes using the softmax activation function. As a result of the training, the first training had an accuracy of 31.2%, but the 30th training had an accuracy of 87.5%, which confirmed the association between the fall extrinsic code and the main diagnosis S code of the fall patient.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.51-59
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• 2022

This study aims to investigate the changes in health status of inpatients before and after a fall accident, and it is a retrospective study using data from 328 inpatients who fell from January 1, 2016 to December 31, 2020, reported to the patient safety reporting system. The average age of the study subjects was 68.57(±14.13), and those in their 70s accounted for the most at 30.49%. Falls occurred on average 13.86(±25.03) days after hospitalization, and the time when the most falls occurred was between 22:30 and 06:59 with 42.99%. Before and after a fall during hospitalization, bowel problems (x²=314.0, p<.001), urination problems (x²=284.0, p<.001), intravenous fluid therapy (x²=85.16, p<.001), and walking (x²=69.77. p<.001), bedridden state (x²=51.60, p< .001), mental state and performance (x²=17.52, p<.001) patient's attitude (x²=220.17, p<.001), there was a statistically significant difference. It is necessary to develop an appropriate method and education program for fall prevention in hospital by considering the individual characteristics of inpatient.

• 한국노년학
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• v.32 no.2
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• pp.377-395
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• 2012

This study was conducted to develop and evaluate the effectiveness of Multifactorial Fall Prevention Program (MFPP) for local low-income elderly people on physical·psychological, and home environmental hazards, and falling frequency. The selected elderly people was provided the MFPP during an eight-week period of time, once a week, 70 to 90 minutes per each section. The design of this study was non-equivalent control-group with repeated measuring by quasi-experimental study. Data were collected before treatment, 8 week after treatment and 4 week after retention from July to October, 2010. Data were analyzed with numbers, percentage, Fisher's exact test, x²-test, repeated measures ANOVA, ANCOVA and Logistic regression. There were significant differences in fall frequency, balance, fear of falling, fall efficacy, home environmental hazards between the experimental group (EG) and control group (CG). This study showed that the multifactorial fall prevention program(MFPP) was useful nursing intervention for strengthening physical·psychological and environmental functions of the low-income elderly people, as well as preventing fall.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.479-480
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• 2023

현대 사회는 출생아가 줄어들고 고령화 현상이 빠르게 진행 중이다. 20~30대의 사회 복지 종사자가 줄어들고 노인 인구는 늘어나는 반비례 현상이 나타나고 있다. 보호자가 없는 노인에게 낙상 사고와 같은 위급상황이 발생한다면 골든타임을 놓칠 수도 있을 것이다. 따라서, 본 논문에서는 낙상 사고 발생 시, 빠른 시간 내에 실시간 모니터링을 통해 노인 복지사가 상황을 인지할 수 있게 하는 시스템을 개발하였다. 미디어파이프 포즈 모델을 이용하여 관찰 대상의 움직임을 포착하도록 하였고 PTZ 카메라의 서보 모터 제어를 통해 포착한 관찰 대상을 추적하도록 하였다. 주요 장면은 사진으로 저장해 웹 서버로 전송하고, 심박수 측정 센서와 와이파이 통신 모듈이 장착된 아두이노 보드가 실시간으로 웹 서버로 전송하여, 전담 관리자는 사진을 통해 상황을 인식하고 심박수를 보고 얼마나 위급한지 알 수 있도록 하였다.

• Journal of Korean Academy of Nursing
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• v.31 no.3
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• pp.443-453
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• 2001

Purpose: To identify age, gender, medication, seasons and place of fall, and areas of the fractures from the fall among the hospitalized elderly patients in order to provide the basic data for future fall prevention program for the elderly. Methods: This study was conducted for 106 elderly patients admitted into a university hospital by fractures from the fall during the period from January 1, 1999 to December 31, 1999. Data on the age, gender, medication, season and place of the fall, areas of the fracture were collected based on their medical records. Result: The age range of the subjects were from 60 to 96 years old. The subjects were aged between 60-69 years old 49(46.2%), between 70-79 years old 31(29.2%), between 80-89 years old 24(22.6%), and over 90 years old 2(1.9%). Male patients comprised was 34(28.3%), while female patients comprised 76(71.7%). The fall occurred in Winter most frequently 34(32%). The place of the fall included room 81(76.4%), streets 13(12.3%), bathroom 6(5.7%), stair 4(3.8%), and mountain 2(1.9%). Twenty-two subjects (20.8%) had medication regularly, while 84 subjects (79.2%) had no medication. The areas of the fracture from the fall included upper extremities 20(18.9%) and lower extremities 86(81.1%). Radius fracture (7.5%) was the area where the fracture occurred most frequently in upper extremities and femur fracture (52.8%) was the area where the fracture occurred most frequently in lower extremities. A significant difference was found in the fracture area by age, season and place of the fall (p<.05). No significant difference was found in the fracture area by gender and medication. In all age groups, seasons and places of the fall, occurrence of fracture in lower extremity was significantly higher than that in upper extremity.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.2
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• pp.86-91
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• 2020

As the number of elderly people living alone increases, the frequency of fall accidents is also increasing. Falls are a threat to the health of older adults and can reduce their ability to remain independent. To solve this problem, we need real-time technology to recognize and respond to the critical condition of the elderly living alone. Therefore, this paper proposes a modified fall detection algorithm based on YOLO-KCF that can check one of the emergency situations in real time for the elderly living alone. YOLO can detect not only the detection of objects, but also the behavior of objects, namely stand and fall. Therefore, this paper can detect fall using the ratio of change of boundary box between stand and falling situation, and this algorithm can improve the shortcomings of KCF.