• 제목/요약/키워드: Daily activity

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RFID를 이용한 일상생활 모니터링 시스템 개발 (Development of Daily Life Monitori ng System using RFID)

  • 정경권;박현식;최우승
    • 한국컴퓨터정보학회논문지
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    • 제14권7호
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    • pp.49-56
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    • 2009
  • 본 논문에서는 무선 센서 네트워크를 이용한 일상생활 모니터링 시스템을 제안한다. 시스템은 활동 모니터리을 위해 장갑 형태로 구성되며, RFID 리더기는 센서 네트워크 기반으로 데이터를 전송하며, RFID 태그는 13.56MHz에서 동작하고, 사각형의 작은 사이즈로 구성된다. 센서 노드는 기구나 약병, 주방용품 등의 다양한 일상생활 물체에 부착된 RFID 태그를 읽는다. 센서 노드는 무선 패킷을 싱크노드로 전송하고, 싱크노드는 수신된 패킷을 서버로 전달한다. RFID 시스템에서 전달된 데이터는 데이터베이스에 저장되고, 사용자의 일상생활 활동정보를 표시한다. 웹기반의 모니터링 시스템을 제공하고, RFID 태그의 회수를 하루단위로 막대 차트로 확인할 수 있다. 실험을 통해서 제안한 방식이 노약자의 행동이나 생활 습관 등을 감지하고 인식할 수 있음을 확인하였다.

밸런스 테이핑요법이 농촌 여성노인의 무릎통증과 일상활동장애 개선에 미치는 영향 (Effects of Balance Taping Therapy on Improving Knee Pain and the Obstacle in Daily Activity in Rural Elderly Women)

  • 김애정;박혜숙
    • 한국산학기술학회논문지
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    • 제20권7호
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    • pp.218-227
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    • 2019
  • 본 연구의 목적은 밸런스 테이핑요법이 농촌 여성노인의 무릎통증과 일상활동장애 개선에 미치는 영향을 확인하는 것이다. 연구설계는 비동등성 대조군 전후설계를 이용한 유사실험연구이다. 자료수집 기간은 2017년 1월 19일부터 4월 14일까지이며, 연구 대상은 농촌지역인 Y시에 소재한 경로당을 방문한 65세 이상 여성노인 54명으로 실험군 26명, 대조군 28명이다. 자료는 밸런스 테이핑 적용 전과 24시간 후에 무릎통증과 일상활동장애 정도를 조사하였고, 수집된 자료는 PASW Statistics 23.0 프로그램을 이용하여 $X^2-test$, Shapiro-Wilk test, Mann-Whitney U test로 분석하였다. 본 연구결과 24시간 동안 밸런스 테이핑요법을 적용받은 실험군이 대조군에 비해 무릎통증(Z=-6.658, p<.001)과 일상활동장애(Z=-3.466, p=.001) 정도가 유의하게 감소하였다. 일상활동장애의 하위영역 중에서는 일어서기(Z=-2.860, p=.004), 일상적 활동하기(Z=-2.629, p=.009), 걷기(Z=-3.868, p<.001)와 몸단장하기(Z=-2.049, p=.040)의 장애정도가 유의하게 감소하였고, 물건 쥐기(Z=-.542, p=.588)와 팔 뻗치기(Z=-.416, p=.678)는 유의한 차이가 없었다. 본 연구결과 밸런스 테이핑요법은 농촌 여성노인의 무릎통증 감소와 일어서기, 일상적 활동하기, 걷기, 몸단장하기와 같은 일상활동장애 개선에 효과적인 간호중재로 확인되었다. 추후 대상자의 사전 통증정도, 밸런스 테이핑 적용횟수, 24시간이상 적용에 따른 장기효과, 다른 신체 부위 적용에 따른 효과 확인과 밸런스 테이핑 적용이 통증의 감소로 우울감 등 심리 건강에도 효과적인지 파악하는 후속연구, 그리고 밸런스 테이핑 적용이 통증감소와 일상활동장애를 개선시키는 생리학적 기전을 밝히는 연구를 제언한다.

2축 가속도 신호와 Extreme Learning Machine을 사용한 행동패턴 분석 알고리즘 (The Analysis of Living Daily Activities by Interpreting Bi-Directional Accelerometer Signals with Extreme Learning Machine)

  • 신항식;이영범;이명호
    • 전기학회논문지
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    • 제56권7호
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    • pp.1324-1330
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    • 2007
  • In this paper, we propose pattern recognition algorithm for activities of daily living by adopting extreme learning machine based on single layer feedforward networks(SLFNs) to the signal from bidirectional accelerometer. For activity classification, 20 persons are participated and we acquire 6, types of signals at standing, walking, running, sitting, lying, and falling. Then, we design input vector using reduced model for ELM input. In ELM classification results, we can find accuracy change by increasing the number of hidden neurons. As a result, we find the accuracy is increased by increasing the number of hidden neuron. ELM is able to classify more than 80 % accuracy for experimental data set when the number of hidden is more than 20.

유아기 신체 건강과 관련한 일상생활습관 실태 연구 (A Study on Daily Life Habits Related with the Physical Health of Young Children)

  • 이정숙;김성재
    • 아동학회지
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    • 제30권3호
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    • pp.177-196
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    • 2009
  • The purpose of this study was to provide basic understanding of healthy habits of young children by analyzing existing life patterns that affect the their physical health. 416 parents of young children from kindergartens and daycare centers have responded to a questionnaire. The collected data were analyzed by using mean, standard deviation frequency, was used by SPSS 16.0 program. The conclusion was that the young children present daily life habits, including sleeping, eating, defecating and playing habits were not positive and that the children mostly led an indoor lifestyle. From these results, observations were made that the physical activity for young children is imperative to develop the physical and mental health of the 21st century young children.

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소아청소년의 비만여부에 따른 신체활동수준, 1일 총에너지소비량 및 에너지필요추정량의 평가 (Physical activity level, total daily energy expenditure, and estimated energy expenditure in normal weight and overweight or obese children and adolescents)

  • 김명희;김은경
    • Journal of Nutrition and Health
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    • 제45권6호
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    • pp.511-521
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    • 2012
  • The purposes of this study were to assess the physical activity level (PAL) and the total daily energy expenditure (TEE) as well as to evaluate the validity of prediction equation for the estimated energy requirement (EER) in normal weight and overweight or obese children and adolescents. The subjects comprised of 100 healthy Korean students aged between 7-18. The anthropometric data was collected. PAL was calculated from the physical activity diary by the 24-hour recall method, and the resting metabolic rate (RMR) was measured by an open-circuit indirect calorimetry using a ventilated hood system. Daily energy expenditure was PAL multiplied by RMR. EER was calculated by using the prediction equation published in KDRIs. There was no significant difference in the means of age and height between the 46 obese subjects and 54 nonobese subjects. The weight and BMI of the obese group (60.2 kg, $25.3kg/m^2$) were significantly higher than those of the nonobese group (42.4 kg, $18.4kg/m^2$). However, PAL was not significantly different between the two groups (nonobese 1.45, obese 1.46). TEE of the obese group (2,212 kcal/day) was significantly higher than that of the nonobese group (1,774 kcal/day). EER (individual PA) and EER (light PA) were significantly higher than TEE (p < 0,001); however, EER (sedentary PA) was not significantly different with TEE in the two groups. These results showed that the levels of physical activity were the same as the sedentary activity both in the nonobese and obese Korean students; moreover, the predictive equation for EER published in KDRI overestimated the TEE of Korean children and adolescents. Therefore, in further research, a new predictive equation for EER should be developed for Korean children and adolescents through the doubly labeled water method.

일부 폐경 후 여성에서 골밀도와 항산화효소 활성에 대한 대두 이소플라본 보충 효과 (Effect of Soy Isoflavone Supplementation on the Bone Mineral Density and Antioxidant Enzyme Activity in Postmenopausal Women)

  • 이행신;이다홍;김미현;승정자
    • Journal of Nutrition and Health
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    • 제39권8호
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    • pp.801-807
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    • 2006
  • To elucidate the effect of soy isoflavone supplementation on bone mineral density and antioxidant enzyme activity in 60 postmenopausal women residing in Iksan area were recruited. There were 31 participants in the treatment group and 29 in the control group. The treatment group consumed isoflavone extract capsules daily (which contained 90 mg of soy isoflavones) for 12 weeks. The study compared before and after isoflavone intake in the following areas. Physical examination, diet survey, bone mineral density (BMD) and antioxidant enzyme activity (superoxide dismutase (SOD), glutathione peroxidase (GPx), catalase (CAT) and total antioxidant capacity (TA)). The average age of the treatment group was 64.6 years and that of the control group was 66.5 years. There were no significant differences between the two groups in terms of height, weight and body mass index. Both groups maintained a regular diet pattern in terms of their average daily nutrient intake. There were no significant differences between the treatment group (23.3 mg) and the control group (24.0 mg) in terms of daily isoflavone intake based on diet. Isoflavone supplementation of 12 weeks did not resulted in any significant changes in BMD or parameters of antioxidant enzyme activity, implying the necessity of more intensive intervention for a substantial change. In conclusion, this study revealed that antioxidant enzyme activity holds a significant relationship with the bone mineral density in postmenopausal women and further systematic research on dose and period of isoflavone supplementation is needed to clearify the positive effect of isoflavone on BMD and/or blood antioxidant capacity in postmenopausal women.

u-라이프케어를 위한 HMM 기반의 분산 행위 인지 알고리즘 (A Distributed Activity Recognition Algorithm based on the Hidden Markov Model for u-Lifecare Applications)

  • 김홍섭;임거수
    • 한국컴퓨터정보학회논문지
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    • 제14권5호
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    • pp.157-165
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    • 2009
  • 본 논문에서는 일상 공간에서 발생할 수 있는 인간의 일상생활 행위(ADL: Activities of Daily Living)들을 인지하는 분산 모델을 제시한다. 사용자의 환경, 위치 및 행위 정보를 간단한 센서들이 부착된 가정용 기기 혹은 식기들을 통해 무선 센서 네트워크로 수집하며 분석하고, 이 정보를 기반으로 사용자의 생환패턴, 건강상태 등을 파악하여 이에 요구되는 라이프케어 서비스를 제공한다. 하지만 서비스의 제공을 위해서는 높은 수준의 행위인지 데이터가 요구되나 충분히 분석되어지지 않은 센싱 데이터들은 고차원 상창 추론을 위한 일상생활 행위 인지 모델의 구축을 어렵게 한다. 그러나 수집 데이터의 순서를 통해 행위를 인지할 수 있다는 것에 착안하여 센서 데이터들의 순서를 특정 행위 패턴을 분석하는 데 활용하고, 이를 기반으로 한 분산 선형 시간추론 알고리즘을 제안한다. 이 알고리즘은 가정, 사무실 및 병원과 같은 소규모 환경에서 행위를 인지하는 데 적절하다. 제안한 알고리즘의 성능평가를 위해서 MIT Media Lab에서 제공하는 공개 데이터를 사용하였으며, 75% 이상의 평균 행위 인지 정확도를 보였다.

한국 고령층의 일상생활 활동 불편도 분석 (The Perceived Discomfort in the Daily Activities of Korean Elderly)

  • 이동훈;나석희;안은선;정민근
    • 대한인간공학회지
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    • 제26권2호
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    • pp.67-79
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    • 2007
  • The objective of this study is to investigate a perceived discomfort and cause of Korean elderly in various activities such as work and leisure as well as in daily activities. 120 subjects (30 female and 30 male for each age: the young and elderly) participated in the interview type of questionnaire. Each participant answered to 41 items of activities of daily living. The examination of each item was progressed with 3 steps: whether to do the activity or not, degree of activity discomfort, and the reasons or causes of discomfort. Borg's CR10 scale is used to measure the degree of discomfort of daily activities. As a result, there are differences for the proportion of performers between two age groups, except for essential activities such as individual maintenance and housekeeping. The elderly complained about their daily activities more than the young did, and the degree of discomfort of women was significantly larger than that of men with aging. There are seven items, the mean degree of discomfort of which is over three points for the elderly, and they showed significant difference between two age groups. It was the important reason that physical capacities such as muscle strength and suppleness are declined. The results showed the characteristics of Korean elderly in the whole daily activities. These will be used to understand various life styles of them and to propose a field or direction of study related to the aging.

소아에서 aminoglycoside의 1일 1회 요법 (Once daily dosing of aminoglycoside in children)

  • 신선희
    • Clinical and Experimental Pediatrics
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    • 제51권10호
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    • pp.1038-1041
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    • 2008
  • Aminoglycosides are frequently used antibiotics in children. The multiple daily dosing (MDD) in infants and children is twice or three times daily depending on age. Recent studies in adults have shown that once daily dosing (ODD) maximizes the bactericidal activity and might minimize the toxicity of antibiotics. So, I reviewed many studies about efficacy, toxicity and cost effectiveness of ODD of aminoglycosides in children. Most studies suggest that ODD compared with MDD of aminoglycosides is theoretically more efficacious and has no higher toxicity in infants and children. But, the total number of patients included in the studies is not large. Multi-center, controlled prospective studies are required in larger numbers of infants and children to determine the efficacy and safety of the ODD regimen in children before ODD of aminoglycosides can be recommended for routine use.