• Title/Summary/Keyword: health monitoring application

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Impact Monitoring in Composite Beam Using Stabilization Controlled FBG Sensor System (안정화된 FBG 센서를 이용한 복합적층보에서의 충격위치검출)

  • Bang Hyung-Joon;Park Sang-Oh;Hong Chang-Sun;Kim Chun-Gon
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2004.04a
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    • pp.103-106
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    • 2004
  • Impact location monitoring is one of the major concerns of the smart health monitoring. For this application, multipoint ultrasonic sensors are to be employed. In this study, a multiplexed FBG sensor system with wide dynamic range was proposed and stabilization controlling system was also developed for the maintenance of maximum sensitivity of sensors. For the intensity demodulation system of FBG sensors, Fabry-Perot tunable filter(FP-TF) with 23.8nm FSR(free spectral range) was used, which behaves as two separate filters between $1530 \~ 1560$ nm range. Two FBG sensors were attached on the bottom side of the graphite/epoxy composite beam specimen, and low velocity impact tests were performed to detect the one-dimensional impact locations. Impact locations were calculated by the arrival time differences of the impact longitudinal waves acquired by the two FBGs. As a result, multiplexed in-line FBG sensors could detect the moment of impact precisely and found the impact locations with the average error of 1.32mm.

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Implementation of Patient Monitoring System based on Mobile Healthcare (모바일 헬스케어 기반의 환자 모니터링 시스템 구현)

  • Kim, Kyoung-Mok
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.12
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    • pp.1-10
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    • 2012
  • In this paper, we propose an patient monitoring system which is suitable for mobile healthcare system. The mobile healthcare system is using portable device such as smartphone and it consists of small computing device. The mobile healthcare system is carry out same performance with desktop computer. We designed medical message structure based on TinyOS to transmit patient's biometric data on the smartphone of medical team, patient and family over the mobile carrier environment, and ported successfully in HBE-Ubi-ZigbeX using NesC. And We confirmed reliable transmission of biometric data on the smartphone by implementing the Android OS based patient information monitoring application to check the status of patient for medical team, patient and family.

Reliability and Accuracy of the Deployable Particulate Impact Sampler for Application to Spatial PM2.5 Sampling in Seoul, Korea (서울시 PM2.5 공간 샘플링을 위한 Deployable Particulate Impact Sampler의 성능 검증 연구)

  • Oh, Gyu-Lim;Heo, Jong-Bae;Yi, Seung-Muk;Kim, Sun-Young
    • Journal of Korean Society for Atmospheric Environment
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    • v.33 no.3
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    • pp.277-288
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    • 2017
  • Previous studies of health effects of $PM_{2.5}$ performed spatial monitoring campaigns to assess spatial variability of $PM_{2.5}$ across people's residences. Highly reliable portable and cost-effective samplers will be useful for such campaigns. This study aimed to investigate applicability of the Deployable Particulate Impact Sampler(DPIS), one of the compact impact samplers, to spatial monitoring campaigns of $PM_{2.5}$ in Seoul, Korea. The investigation focused on the consistency of $PM_{2.5}$ concentrations measured by DPISs compared to those by the Low-volume Cyclone sampler (LCS). LCS has operated at a fixed site in the Seoul National University Yeongeon campus, Seoul, Korea since 2003 and provided qualified $PM_{2.5}$ data. $PM_{2.5}$ sampling of DPISs was carried out at the same site from November 17, 2015 through February 3, 2016. $PM_{2.5}$ concentrations were quantified by the gravimetric method. Using a duplicated DPIS, we confirmed the reliability of DPIS by computing relative precision and mean square error-based R squared value ($R^2$). Relative precision was one minus the difference of measurements between two samplers relative to the sum. For accuracy, we compared $PM_{2.5}$ concentrations from four DPISs (DPIS_Tg, DPIS_To, DPIS_Qg, and DPIS_Qo) to those of LCS. Four samplers included two types of collection filters(Teflon, T; quartz, Q) and impaction discs(glass fiber filter, g; pre-oiled porous plastic disc, o). We assessed accuracy using accuracy value which is one minus the difference between DPIS and LCS $PM_{2.5}$ relative to LCS $PM_{2.5}$ in addition to $R^2$. DPIS showed high reliability (average precision=97.28%, $R^2=0.98$). Accuracy was generally high for all DPISs (average accuracy=83.78~88.88%, $R^2=0.89{\sim}0.93$) except for DPIS_Qg (77.35~78.35%, 0.82~0.84). Our results of high accuracy of DPIS compared to LCS suggested that DPIS will help the assessment of people's individual exposure to $PM_{2.5}$ in extensive spatial monitoring campaigns.

Analysis of the Nursing Interventions Performed by Home Health Care Nurses in a Hospital : An Application of NIC (병원중심 가정간호중재 분석: NIC 체계 적용)

  • Yong, Jin Sun;Yoo, In Ja;Yoo, Ji Youn
    • Korean Journal of Adult Nursing
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    • v.12 no.4
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    • pp.606-618
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    • 2000
  • The purpose of the study was to investigate the characteristics of the clients registered in the department of home health care nursing in a hospital and to analyze nursing intervention activities recorded in charts by application of Nursing Intervention Classification (NIC) system. For the descriptive survey study, data were collected by reviewing charts of 572 home health care clients between May, 1997 and July, 2000 at K hospital in Seoul. The average age of the clients was 66 years and the number of clients in their 70s ranked first with 28.2 percent(158 people). The mean length of home care service was 47 days with the highest frequency of less than four weeks (56 %). With regard to medical diagnosis, cancer showed the highest frequency (48%, 271 people), followed by cerebrovascular disease (19%), and pulmonary disease (6.9%). According to analysis of nursing interventions by the NIC system, the most frequently used nursing interventions in level 1 were interventions in the Physiological: Complex domain which were used 3,663 times (33%) among 11,107 total interventions. The Safety domain was the second most frequently used intervention, followed by the Physiological: Basic, and the Behavioral domains. In level 2, the Risk Management class was the most frequently used interventions with 3,108 interventions (27.9%), followed by Drug Management, and Tissue Perfusion Management classes. In level 3 interventions, Vital Sign Monitoring was the most frequently used intervention, 569 times (5.1%), followed by Health Screening, and Neurological Monitoring interventions. In sum, half of the clients in the study had cancer and were in their 70s. The most frequent reason for ending home care was death (40%), followed by readmission (28%). These findings represent clients with severe conditions referred to the home care nursing department as it was a University teaching hospital. Further research on analyzing nursing interventions performed in each institution needs to be conducted to develop a standardized list of nursing interventions to use in home health care settings.

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A Simultaneous Real-Time Heart Rate Monitoring System for Multiple Users (다수 이용자를 위한 동시적 실시간 심박수 모니터링 시스템)

  • Ha, Sangho
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.8
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    • pp.253-258
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    • 2015
  • From the point of view of u-healthcare, heart rate is so useful for both illness for taking care of patients and wellness for improving the level of health and wellbeing. It is because heart rate is a significant clinical variable for all kinds of diseases as well as an indicator of the intensity of exercise. Recently, a number of various wearable heart rate monitors have been released to check people's status in the body by monitoring their heart rates. In addition, a number of smartphone applications have been released to conveniently monitor the status of exercise by using heart rate monitors. However, all of these applications are limited to a personal usage. In this paper, we will design a system to simultaneously monitor heart rates coming from multiple users in a real-time, and develop an Android application to apply the system. The application mainly features a simultaneous monitoring of heart rates coming from multiple users, allowing to be effectively applied to fitness centers.

An Assessment of Genotoxicity on Organic Solvent Workers by $^{32}$P-postlabelling Method ($^{32}$P-postlabelling법을 이용한 유기용제 작업장 근로자의 유전독성 평가)

  • 홍대용;김장락;이장호;문중갑;이한우;김동일;박성학;정주화;이홍근
    • Environmental Analysis Health and Toxicology
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    • v.9 no.1_2
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    • pp.37-51
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    • 1994
  • To evaluate the genotoxicities of workers exposed to glue and glue cleaning solution, ambient air monitoring of working place, animal study and human monitoring were carried out. By GC-MS analysis, air samples collected from shoesmaking plant were found to be toluene, xylene, cyclohexane, n-hexane, methyl ethyl ketone, trichloroethylene, butylacetate, isopropyl alcohol. Glue and glue cleaning solution from shoesmaking plant were applicated topically to the CD-1 mice. DNA was isolated from skin 24 hr following the application and analysed for DNA-adducts using the nuclease $P_1$version of $^{32}$P-postlabelling assay. RAL (Relative Adduct Labelling, adducts$10^8$ nucleotides) was significantly increased in a dose-dependent manner in the glue cleaning solution treated mice skin. Peripheral blood DNA-adducts of workers exposed to glue and glue cleaning solution were also analysed by the same method, but there were not significant differences in the peripheral blood DNA-adducts level between exposed and control workers. In addition, glue cleaning solution from shoes factory was evaluated for mutagenicity in the Salmonella plate incorporation assay using strains TA 100 and TA 1535 in the presence and absence of Arochlor 1254-induced rat liver S$_{9}$. There was evident mutagenicity for cleaning solution in TA 100 regardless of $S_9$, but TA 1535 showed positive only in the absence of $S_9$when predicted by Stead model of mutagenicity prediction (p=0.0000). The urine concentrates from workers and controls were also assayed for mutagenicity towards strain TA 100 of Salmonella typhimurium in the presence of $S_9$ using Kado's microsuspension assay, but their mutagenic activities were not found to be significant. These data suggest that shoesmaking workers are exposed to genotoxic compounds and need to be monitored by testing the mutagenicity of human urines. However, $^{32}$P-postlabelling application requires further validation for the routine monitoring of human exposure.osure.

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The Development of Remote Monitoring System for Storm Overflow Chamber Device (우수토실 일체형 하수유량조절장치 원격관리시스템 개발)

  • Jeon, In-Jae;Kim, Ki-Bong
    • Journal of the Korea Convergence Society
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    • v.9 no.6
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    • pp.61-68
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    • 2018
  • This paper propose the remote monitoring system using LoRa networks about storm overflow chamber, which is a device designed to discharge rainwater directly to a sewage treatment plant when it reaches a certain amount of rainfall during precipitation. In this system, when the information produced by the sensor is transmitted to the LoRa network server and updated, the application server can automatically receive data through the implemented communication interface. The application server carries out management functions of storm overflow chamber devices and subscription information, collects measured flow rate and opening-closing information, and provides statistical information using the collected data. The android app performs a firebase-based notification function to prompt the user of malfunctioning of the storm overflow chamber device.

Self-Monitoring of Blood Pressure and Feed-back Using APP in TReatment of UnconTrolled Hypertension (SMART-BP): A Randomized Clinical Trial

  • Dong-Ju Choi;Jin Joo Park;Minjae Yoon;Sung-Ji Park;Sang-Ho Jo;Eung Ju Kim;Soo-Joong Kim;Sungyoung Lee
    • Korean Circulation Journal
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    • v.52 no.10
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    • pp.785-794
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    • 2022
  • Background and Objectives: Self-monitoring of blood pressure (SMBP) is a reliable method used to assess BP accurately. However, patients do not often know how to respond to the measured BP value. We developed a mobile application-based feed-back algorithm (SMBP-App) for tailored recommendations. In this study, we aim to evaluate whether SMBP-App is superior to SMBP alone in terms of BP reduction and drug adherence improvement in patients with hypertension. Methods: Self-Monitoring of blood pressure and Feed-back using APP in Treatment of UnconTrolled Hypertension (SMART-BP) is a prospective, randomized, open-label, multicenter trial to evaluate the efficacy of SMBP-App compared with SMBP alone. Patients with uncomplicated essential hypertension will be randomly assigned to the SMBP-App (90 patients) and SMBP alone (90 patients) groups. In the SMBP group, the patients will perform home BP measurement and receive the standard care, whereas in the SMBP-App group, the patients will receive additional recommendations from the application in response to the obtained BP value. Follow-up visits will be scheduled at 12 and 24 weeks after randomization. The primary endpoint of the study is the mean home systolic BP. The secondary endpoints include the drug adherence, the home diastolic BP, home and office BP. Conclusions: SMART-BP is a prospective, randomized, open-label, multicenter trial to evaluate the efficacy of SMBP-App. If we can confirm its efficacy, SMBP-App may be scaled-up to improve the treatment of hypertension.

Development of Population-based Prevention Strategies for Childhood Obesity: Applied WHO Model (아동.청소년 비만 예방을 위한 인구기반 예방 전략 개발:WHO 모형의 적용)

  • Kim, Ki-Rang;Lee, Eun-Young;Kim, Hye-Ryun
    • Korean Journal of Health Education and Promotion
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    • v.28 no.3
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    • pp.43-55
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    • 2011
  • Objectives: The objectives of this study were to describe population-based prevention strategies for childhood obesity and to discuss its application in a city in Korea. Methods: Literature review and empirical findings for ongoing programs were performed to develop population-based prevention strategies for childhood obesity with the framework and principles of WHO population-based prevention strategies for childhood obesity. Results: The developed framework had five key strategies (supportive policies, supportive environment, supportive program, strategic development & leadership, and monitoring & evaluation) under hierarchic objectives (long-term, middle-term and short-term) with the vision of healthy growth and development of all children and youth. Each strategy included evidence-based action plans with WHO principles. Conclusions: The developed strategies have advanced the existing strategies for childhood obesity prevention by providing the sustainable and systematic framework and action plans based on ecological approach. Further, the feasibility for operating the strategies needs to be verified.

Human Mental Condition Monitoring through Measurement of Physiological Signals

  • Ulziibayar, Natsagdorj;Kang, Sanghoon;Park, Hanhoon
    • Journal of Korea Multimedia Society
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    • v.23 no.9
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    • pp.1147-1154
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    • 2020
  • Nowadays, one of the most common diseases is chronic mental fatigue syndrome. This can be caused by many factors, such as busy life, heavy workload, high population density, and adverse technological impact. Most office workers and students who are sitting all day long while being exposed to this kind of environments are likely to be involved in the mental illness. Therefore, to prevent the illness, it has been highly required to design a device that enables mental fatigue to be monitored continuously without human intervention. This paper proposes a linear regression method to reliably estimating the level of human mental fatigue using wearable physiological sensors, with an estimation error of 0.852. Also, this paper presents an Android application that is able to check mental health conditions in daily life.