• Title/Summary/Keyword: 스마트 헬스

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Photobiomodulation Mediated by Red and Infrared Light: A Study of Its Effectiveness on Corneal Epithelial Cells and Wound Healing (적색 및 적외선 빛을 이용한 Photobiomodulation: 각막상피세포에 대한 효과와 상처 치유에 관한 연구)

  • Sun Hee Ahn;Jae Sung Ahn;Byeongil Lee
    • Korean Journal of Optics and Photonics
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    • v.34 no.2
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    • pp.45-52
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    • 2023
  • In this study, we have investigated the effect of photobiomodulation (PBM) on corneal wound healing, using a low-power light-emitting diode (LED) at different wavelengths. We found that LEDs with wavelengths ranging from 623 to 940 nm had no significant cytotoxic effects on corneal epithelial cells. The effect of PBM on promoting cell migration was analyzed by scratch assay, and it was found that PBM at 623 nm significantly increased cell migration and promoted wound healing. Furthermore, the expression of genes related to cell migration and wound healing was analyzed, and it was found that PBM at 623 nm upregulated the expression of the genes FGF-1 and MMP2, which are known to promote cell proliferation and extracellular matrix degradation. These findings suggest that PBM with low-powered light at specific wavelengths, particularly 623 nm, could be utilized to treat corneal injury.

Attention-Based Heart Rate Estimation using MobilenetV3

  • Yeo-Chan Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.1-7
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    • 2023
  • The advent of deep learning technologies has led to the development of various medical applications, making healthcare services more convenient and effective. Among these applications, heart rate estimation is considered a vital method for assessing an individual's health. Traditional methods, such as photoplethysmography through smart watches, have been widely used but are invasive and require additional hardware. Recent advancements allow for contactless heart rate estimation through facial image analysis, providing a more hygienic and convenient approach. In this paper, we propose a lightweight methodology capable of accurately estimating heart rate in mobile environments, using a specialized 2-channel network structure based on 2D convolution. Our method considers both subtle facial movements and color changes resulting from blood flow and muscle contractions. The approach comprises two major components: an Encoder for analyzing image features and a regression layer for evaluating Blood Volume Pulse. By incorporating both features simultaneously our methodology delivers more accurate results even in computing environments with limited resources. The proposed approach is expected to offer a more efficient way to monitor heart rate without invasive technology, particularly well-suited for mobile devices.

Effect of Dictyopteris divaricata Extracts on Adipogenesis in 3T3-L1 Preadipocytes (미끈뼈대그물말(Dictyopteris divaricata) 추출물의 항비만 효과)

  • Chul Hwan Kim;Seok-Chun Ko;Hyun-Soo Kim;Gun-Woo Oh;Ji-Yul Kim;Kyung Woo Kim;Jeong Min Lee;Myeong-Seok Lee;Yun Gyeong Park;Gyeong Lee;Jae-Young Je;Jung Hye Won;Young Jun Kim;Dae-Sung Lee
    • Journal of Marine Bioscience and Biotechnology
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    • v.15 no.2
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    • pp.59-66
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    • 2023
  • Dictyopteris divaricata, a type of marine brown algae, has been studied for its various biological properties, including anti-inflammatory, antidiabetic, and whitening effects. However, its potential antiobesity effects have not been extensively explored. This study aimed to examine the impact of D. divaricata ethanol extract (DDE) on adipocyte differentiation and adipogenesis using 3T3-L1 preadipocytes. Our results showed that when 3T3-L1 preadipocytes were treated with noncytotoxic concentrations of DDE there was a concentration-dependent decrease in fat accumulation rate and triglycerid production compared with the control. Furthermore, DDE significantly reduced the expression of transcription factors (PPARγ, C/EBPα, and SREBP-1) and fatty acid transport protein (FABP4), which are crucial for 3T3-L1 preadipocyte differentiation. These findings suggest that DDE may exhibit antiobesity effects by suppressing the expression of lipogenic transcription factors and fatty acid transport proteins. Therefore, DDE holds potential as a therapeutic agent for obesity.

Performance and Stability Evaluation of Muscle Activation (EMG) Measurement Electrodes According to Layer Design (근활성도(EMG) 측정 전극 레이어 설계에 따른 성능 및 안정성 평가)

  • Bon-Hak Koo;Dong-Hee Lee;Joo-Yong Kim
    • Science of Emotion and Sensibility
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    • v.26 no.4
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    • pp.41-50
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    • 2023
  • This study aims to develop electromyography (EMG) textile electrodes and assess their performance and signal stability by examining variations in layer count and fabric types. We fabricated the electrodes through layering and pressing techniques, focusing on configurations with different layer counts (Layer-0, Layer-1, and Layer-2). Our findings indicate that layer presence significantly influences muscle activation measurements, with enhanced performance correlated with increased layer numbers. Subsequently, we created electrodes from five distinct fabrics (neoprene, spandex cushion, 100% polyester, nylon spandex, and cotton canvas), each maintaining a Layer-2 structure. In performance tests, nylon spandex fabric, particularly heavier variants, outperformed others, while the spandex cushion electrodes showed superior stability in muscle activation signal acquisition. This research elucidates the connection between electrode performance and factors like layer number and electrode-skin contact area. It suggests a novel approach to electrode design, focusing on layer properties and targeted pressure application on specific sensor areas, rather than uniformly increasing sleeve pressure.

Status and prospects of Knowledge Information Security Industry (지식정보보안 산업의 현황과 전망)

  • Choi, Jeong-Il;Chang, Ye-Jin;Lee, Ok-Dong
    • Korean Security Journal
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    • no.39
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    • pp.269-294
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    • 2014
  • Korea is concerned with information security industry due to recent leak-out private information of 3 card companies. Executives are aware of damage from breach of security such as personal data spill, is more dangerous than any other financial risks. The information security industry, which was limited in physical security and network security formerly, is evolving into convergence security of public and facility security industry. The field of interest has also been changed into security of smart phone and intelligence image recently, from firewall or Anti-virus. The convergence security is originally about access control of facility, but recently its demand has been increased mostly by public institutions and major companies. The scope of the industry also varies from finance, education, distribution, national defense, medical care to automobile industry. The market of convergence security has been expanded and new various products and services of security of intelligent vehicle, 'U' healthcare, finance, smart grid and key industries are also developed. It is required to create and enhance of new curriculum and cultivate human resources for the development of knowledge information security industry. Raising standard of education and security consciousness of the nation is also necessary to strengthen the global competitiveness.

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Development of Low-Power IoT Sensor and Cloud-Based Data Fusion Displacement Estimation Method for Ambient Bridge Monitoring (상시 교량 모니터링을 위한 저전력 IoT 센서 및 클라우드 기반 데이터 융합 변위 측정 기법 개발)

  • Park, Jun-Young;Shin, Jun-Sik;Won, Jong-Bin;Park, Jong-Woong;Park, Min-Yong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.5
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    • pp.301-308
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    • 2021
  • It is important to develop a digital SOC (Social Overhead Capital) maintenance system for preemptive maintenance in response to the rapid aging of social infrastructures. Abnormal signals induced from structures can be detected quickly and optimal decisions can be made promptly using IoT sensors deployed on the structures. In this study, a digital SOC monitoring system incorporating a multimetric IoT sensor was developed for long-term monitoring, for use in cloud-computing server for automated and powerful data analysis, and for establishing databases to perform : (1) multimetric sensing, (2) long-term operation, and (3) LTE-based direct communication. The developed sensor had three axes of acceleration, and five axes of strain sensing channels for multimetric sensing, and had an event-driven power management system that activated the sensors only when vibration exceeded a predetermined limit, or the timer was triggered. The power management system could reduce power consumption, and an additional solar panel charging could enable long-term operation. Data from the sensors were transmitted to the server in real-time via low-power LTE-CAT M1 communication, which does not require an additional gateway device. Furthermore, the cloud server was developed to receive multi-variable data from the sensor, and perform a displacement fusion algorithm to obtain reference-free structural displacement for ambient structural assessment. The proposed digital SOC system was experimentally validated on a steel railroad and concrete girder bridge.

Development of Personalized Exercise Prescription System based on Kinect Sensor (Kinect Sensor 기반의 개인 맞춤형 운동 처방 시스템 개발)

  • Woo, Hyun-Ji;Yu, Mi;Hong, Chul-Un;Kwon, Tae-Kyu
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.593-605
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    • 2022
  • The purpose of this study is to investigate the personalized treacmill exercise analysis using a smart mirror based on Kinect sensor. To evaluate the performance of the development system, 10 health males were used to measure the range of the hip joint, knee joint, and ankle joint using a smart mirror when walking on a treadmill. For the validity and reliability of the development system, the validity and reliability were analyzed by comparing the human movement data measured by the Kinect sensor with the human movement data measured by the infrared motion capture device. As a result of validity verification, the correlation coefficient r=0.871~0.919 showed a high positive correlation, and through linear regression analysis, the validity of the smart mirror system was 88%. Reliability verification was conducted by ICC analysis. As a result of reliability verification, the correlation coefficient r=0.743~0.916 showed high correlation between subjects, and the consistency for repeated measurement was also very high at ICC=0.937. In conclusion, despite the disadvantage that Kinect sensor is less accurate than the motion capture system, Kinect is it has the advantage of low price and real-time information feedback. This means that the Kinect sensor is likely to be used as a tool for evaluating exercise prescription through human motion measurement and analysis.

Implementation of CoAP/6LoWPAN over BLE Networks for IoT Services (BLE 네트워크 상에서 사물인터넷 서비스 제공을 위한 CoAP과 6LoWPAN 구현)

  • Kim, Cheol-Min;Kang, Hyung-Woo;Choi, Sang-Il;Koh, Seok-Joo
    • Journal of Broadcast Engineering
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    • v.21 no.3
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    • pp.298-306
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    • 2016
  • With the advent of Internet of Things (IoT) technology that allows the communications between things and devices over the Internet, a lot of researches on the IoT services, such as smart home or healthcare, have been progressed. In the existing machine-to-machine (M2M) communications, however, since the underlying link-layer technologies, such as Bluetooth or ZigBee, do not use the Internet Protocol (IP) communication, those technologies are not suitable to provide the IoT services. Accordingly, this paper discusses how to provide the Internet services in the M2M communication, and propose an implementation of the Constrained Application Protocol (CoAP) over 6LoWPAN for providing IoT services in the BLE networks. Based on the implementation, we compared the performance between HTTP and CoAP for IoT communications. From the experimental results, we can see that the CoAP protocol gives better performance than the HTTP protocol with two times higher throughput, 21% faster transmission time, and 22% smaller amount of generated packets.

The Effects of a Mobile Personal Health Records (PHR) Application on Consumer Health Behavior (모바일 개인건강기록(Personal Health Records: PHR) 어플리케이션의 이용이 소비자 건강행태에 미치는 영향)

  • Yi, Yong Jeong
    • Journal of the Korean Society for information Management
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    • v.33 no.4
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    • pp.7-26
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    • 2016
  • The present study aimed at investigating the strengths and weaknesses of a mobile personal health record (PHR) application and identifying its impacts on consumer health information behavior. For the study, twenty-seven college students used a PHR application for three months, based on which the study conducted paper-based interviews with them. The results of content analysis highlighted the benefits of the PHR such as supporting preventive healthcare and motivating and providing specific guidelines for healthy lifestyles by utilizing visual interface design, sharing the data with family and assisting caregivers to manage patients' healthcare, and above all enhancing the interaction between patients and healthcare professionals. However, the study found the drawbacks of the PHR such as a lack of data entry for strength training and the incompatibility with other healthcare applications. The participants were motivated to change their health behaviors in ways such as getting rid of sleep disorders, avoiding alcohol and smoking tobacco, and losing weight, and changing eating habits. Some consumers improved self-efficacy by changing their health behaviors, while the PHR provided emotional supports to the consumers who wanted to improve their health. The present study has an academic significance because the study of PHR is a burgeoning area in Korea. The study provides insights for promoting health and medical information services to cope with the paradigm shift of healthcare fields.

Study on the Sector for Enterprise Support of the Industry of Transportation, Machinery, Materials and Parts in Chungbuk through Statistical Analysis (충북 수송기계소재부품산업 통계분석을 통한 기업지원영역 연구)

  • Lee, Hyoungwook;Park, Sung-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.8
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    • pp.246-253
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    • 2018
  • The main industries in Chungcheongbuk-do are the smart IT parts; bio-health; and transportation machinery, materials and parts. The transportation, machinery, materials and parts (TMMP) industry is a key source technology for environmentally friendly and intelligent vehicles related to future vehicles in the machinery sector. Business support projects to improve this industry are currently underway. In this study, the number of enterprises, number of employees, amount of shipment, and added value of the enterprises in Chungbuk area were analyzed for the downstream and rear industries of the transportation, machinery, materials, and parts industry to set targets and directions for the technical support projects during the enterprise support. In particular, for the SMEs with less than 50 employees, the changes in the value added per enterprise were analyzed according to the period from the year of foundation. In the case of the rear industry, the value added by companies within three years after foundation has decreased gradually each year, so technical support is needed at the beginning of the startup. Companies between the ages of five and nine years are showing a fluctuating trend each year. Therefore, it is necessary to support business diversification or find new items.