• Title/Summary/Keyword: IoT Health Monitoring

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Laboratory Environment Monitoring: Implementation Experience and Field Study in a Tertiary General Hospital

  • Kang, Seungjin;Baek, Hyunyoung;Jun, Sunhee;Choi, Soonhee;Hwang, Hee;Yoo, Sooyoung
    • Healthcare Informatics Research
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    • v.24 no.4
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    • pp.371-375
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    • 2018
  • Objectives: To successfully introduce an Internet of Things (IoT) system in the hospital environment, this study aimed to identify issues that should be considered while implementing an IoT based on a user demand survey and practical experiences in implementing IoT environment monitoring systems. Methods: In a field test, two types of IoT monitoring systems (on-premises and cloud) were used in Department of Laboratory Medicine and tested for approximately 10 months from June 16, 2016 to April 30, 2017. Information was collected regarding the issues that arose during the implementation process. Results: A total of five issues were identified: sensing and measuring, transmission method, power supply, sensor module shape, and accessibility. Conclusions: It is expected that, with sufficient consideration of the various issues derived from this study, IoT monitoring systems can be applied to other areas, such as device interconnection, remote patient monitoring, and equipment/environmental monitoring.

Smart Device based ECG Sensing IoT Applications (스마트 디바이스 기반 ECG 감지 IoT 응용 서비스에 관한 연구)

  • Mariappan, Vinayagam;Lee, Seungyoun;Lee, Junghoon;Lee, Juyoung;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • v.11 no.3
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    • pp.18-23
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    • 2016
  • Internet of things (IoT) is revolutionizing in the patient-Centered medical monitoring and management by authorizing the Smartphone application and data analysis with medical centers. The network connectivity is basic requirement to collect the observed human beings' health information from Smartphone to monitor the health from IoT medical devices in personal healthcare. The IoT environment built in Smartphone is very effective and does not demand infrastructure. This paper presents the smart phone deployed personal IoT architecture for Non-Invasive ECG Capturing. The adaptable IoT medical device cum Gateway is used for personal healthcare with big data storage on cloud configuration. In this approach, the Smartphone camera based imaging technique used to extract the personal ECG waveform and forward it to the cloud based big data storage connectivity using IoT architecture. Elaborated algorithm allows for efficient ECG registration directly from face image captured from Smartphone or Tablet camera. The profound technique may have an exceptional value in monitoring personal healthcare after adequate enhancements are introduced.

Design of Monitoring System based on IoT sensor for Health Management of an Elderly Alone

  • Hur, Hwa-La;Park, Myeong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.8
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    • pp.81-87
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    • 2020
  • In this paper, proposes a health status monitoring system for socially marginalized elderly households living alone. This system is implemented by collecting various PHR biometric signals and residential environment information through IoT devices. In addition, the company aims to establish a basic infrastructure that can understand the situation of lonely deaths and implement prevention programs by strengthening the predictive ability through data analysis of the DB server based on PHR and information collected from IoT sensors. The sensor consists of an environmental information collection sensor and a noncontact and wearable sensor for biometric signal collection. A gateway is required to transmit the collected data to the server, and the prototype is presented in this paper. The paper has a discussion purpose of policy task for expanding medical welfare service. The results of this study are believed to help expand services to the socially marginalized and improve the medical environment of the people.

A Portable IoT-cloud ECG Monitoring System for Healthcare

  • Qtaish, Amjad;Al-Shrouf, Anwar
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.269-275
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    • 2022
  • Public healthcare has recently become an issue of great importance due to the exponential growth in the human population, the increase in medical expenses, and the COVID-19 pandemic. Speed is one of the crucial factors in saving life, particularly in case of heart attack. Therefore, a healthcare device is needed to continuously monitor and follow up heart health conditions remotely without the need for the patient to attend a medical center. Therefore, this paper proposes a portable electrocardiogram (ECG) monitoring system to improve healthcare for heart attack patients in both home and ambulance settings. The proposed system receives the ECG signals of the patient and sends the ECG values to a MySQL database on the IoT-cloud via Wi-Fi. The signals are displayed as an ECG data chart on a webpage that can be accessed by the patient's doctor based on the HTTP protocol that is employed in the IoT-cloud. The proposed system detects the ECG data of the patient to calculate the total number of heartbeats, number of normal heartbeats, and the number of abnormal heartbeats, which can help the doctor to evaluate the health status of the patient and decide on a suitable medical intervention. This system therefore has the potential to save time and life, but also cost. This paper highlights the five main advantages of the proposed ECG monitoring system and makes some recommendations to develop the system further.

Distributed Social Medical IoT for Monitoring Healthcare and Future Pandemics in Smart Cities

  • Mansoor Alghamdi;Sami Mnasri;Malek Alrashidi;Wajih Abdallah;Thierry Val
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.135-155
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    • 2024
  • Urban public health monitoring in smart cities focuses on the control of conditions and health challenges in urban environments. Considering the rapid spread of diseases and pandemics, it is important for health authorities to trace people carrying the virus. In smart cities, this tracing must be interoperable and intelligent, especially in indoor surfaces characterized by small distances between people. Therefore, to fight pandemics, it is necessary to start with the already-existing digital equipment of the Internet of Things, such as connected objects and smartphones. In this study, the developed system is employed to provide a social IoT network and suggest a strategy which allows reliable traceability without threatening the privacy of users. This IoT-based system allows respecting the social distance between persons sharing public services in smart cities without applying smartphone applications or severe confinement. It also permits a return to normal life in case of viral pandemic and ensures the much-desired balance between economy and health. The present study analyses previous proposed social distance systems then, unlike these studies, suggests an intelligent and distributed IoT based strategy for positioning students. Two scenarios of static and dynamic optimization-based placement of Bluetooth Low Energy devices are proposed and an experimental study shows the contribution and complementarity of the introduced contact tracing strategy with the applications on smartphones.

Acquisition of Multi-channel Biomedical Signals Based on Internet of Things (사물인터넷 기반의 다중채널 생체신호 측정)

  • Kim, Jeong-Hwan;Jeung, Gyeo-Wun;Lee, Jun-Woo;Kim, Kyeong-Seop
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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    • pp.1252-1256
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    • 2016
  • Internet of Things(IoT)-devices are now expanding inter-connecting networking technologies to invent healthcare monitoring system especially for assessing physiological conditions of the chronically-ill patients those with cardiovascular diseases. Hence, IoT system is expected to be utilized for home healthcare by dedicating the original usage of IoT devices to collect the biomedical data such as electrocardiogram(ECG) and photoplethysmography(PPG) signal. The aim of this work is to implement health monitoring system by integrating IoT devices with Raspberry-pi components to measure and analyze ECG and the multi-channel PPG signals. The acquired data and fiducial features from our system can be transmitted to mobile devices via wireless networking technology to support the concept of tele-monitoring services based on IoT devices.

Design of Monitoring System based on IoT sensor for Health Management of an Elderly (고령자 건강관리를 위한 IoT 센서 기반의 모니터링 시스템 설계)

  • Park, Myeong-Chul;Lee, Hun-Kee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.603-604
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    • 2020
  • 한국사회는 전통적인 대가족제도가 급속히 해체되고 저 출산 및 고령화로 인한 고령층의 1인 가정의 수가 급속히 증가하고 있는 추세이다. 고령자 1인 가구에 대한 다양한 서비스와 고도화가 필요한 이유이다. 본 연구에서는 1인 가정을 대상으로 IoT 기기를 통한 다양한 PHR 생체 신호와 환경정보을 수집하고 수집된 정보를 바탕으로 건강상태를 모니터링하는 시스템을 제안한다. 제안하는 시스템은 의료기기에서 제공되는 개방형 PHR 데이터의 융합으로 정보 분석 및 예측능력을 강화하고 고독사 상황파악 및 방지 프로그램을 이행할 수 있는 기본 인프라을 구축하고자 한다. 또한 중장년층의 미래에 대한 불확실성을 제거하고 사회복지서비스의 확대를 위한 정책적 과제의 논의적 목적을 가지고 있다. 본 연구의 결과물은 사회 소외 계층에 대한 서비스 확대와 국민의 의료환경 개선에 도움이 될 것으로 사료된다.

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A Study on the Personalized Smart Home Health-Care IoT Service Design (개인맞춤형 스마트 홈 헬스케어 IoT 서비스디자인 연구: LH 스마트 홈 헬스케어 플랫폼 사례분석 중심으로)

  • Ui Jeong, Park;Jae Boong, Choi
    • Journal of Information Technology Services
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    • v.21 no.6
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    • pp.21-37
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    • 2022
  • Due to the development of technology and medical care following the 4th industrial revolution, the medical paradigm is shifting towards patient-centered medical services. Based on the development of smart home technology, the residential environment is changing into a residential space that cares for and heals the lifestyles and the healthcare of families. As lifestyle changes, the concept of supporting smart home care based on the residential environment is making it possible to build a smart home IoT service design with enhanced accessibility and convenience for medical appointments and well-being lifestyle care. This paper is a study on user-centered health care smart home IoT service design suitable for family members based on the health care, beauty care, exercise care, and customized diet care beyond the conventional concept of health care monitoring. Based on the analysis, this paper proposes a personal care coordinate smart home service design in a human-centered wellness clinic care smart home service design environment. Human-centered wellness clinic smart home IoT service design is meaningful in presenting a vision for research on smart home service design that links hospital-linked and care-linked service industries, which should be considered from the smart home construction planning stage.

How to build an AI Safety Management Chatbot Service based on IoT Construction Health Monitoring (IoT 건축시공 건전성 모니터링 기반 AI 안전관리 챗봇서비스 구축방안)

  • Hwi Jin Kang;Sung Jo Choi;Sang Jun Han;Jae Hyun Kim;Seung Ho Lee
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.106-116
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    • 2024
  • Purpose: This paper conducts IoT and CCTV-based safety monitoring to analyze accidents and potential risks occurring at construction sites, and detect and analyze risks such as falls and collisions or abnormalities and to establish a system for early warning using devices like a walkie-talkie and chatbot service. Method: A safety management service model is presented through smart construction technology case studies at the construction site and review a relevant literature analysis. Result: According to 'Construction Accident Statistics,' in 2021, there were 26,888 casualties in the construction industry, accounting for 26.3% of all reported accidents. Fatalities in construction-related accidents amounted to 417 individuals, representing 50.5% of all industrial accident-related deaths. This study suggests implementing AI chatbot services for construction site safety management utilizing IoT-based health monitoring technologies in smart construction practices. Construction sites where stakeholders such as workers participate were demonstrated by implementing an artificial intelligence chatbot system by selecting major risk areas within the workplace, such as scaffolding processes, openings, and access to hazardous machinery. Conclusion: The possibility of commercialization was confirmed by receiving more than 90 points in the satisfaction survey of participating workers regarding the empirical results of the artificial intelligence chatbot service at construction sites.