Survey of Authentication Schemes for Health Monitoring: A Subset of Cyber Physical System

The COVID-19 pandemic has negatively impacted sporting activities across the world. However, practical training strategies for athletes to reduce the risk of infection during the pandemic have not been definitively studied. The purpose of this report was to provide an overview of the challenges we encountered during the reboot of high-performance sporting activities of the Japanese national handball team during the 3rd wave of the COVID-19 pandemic in Tokyo, Japan. Twenty-nine Japanese national women’s handball players and 24 staff participated in the study. To initiate the reboot of their first training camp after COVID-19 stay-home social policy, we conducted: web-based health-monitoring, SARS-CoV-2 screening with polymerase chain reaction (PCR) tests, real-time automated quantitative monitoring of social distancing on court using a moving image-based artificial intelligence (AI) algorithm, physical intensity evaluation with wearable heart rate (HR) and acceleration sensors, and a self-reported online questionnaire. The training camp was conducted successfully with no COVID-19 infections. The web-based health monitoring and the frequent PCR testing with short turnaround times contributed remarkably to early detection of athletes’ health problems and to risk screening. During handball, AI-based on-court social-distance monitoring revealed key time-dependent spatial metrics to define player-to-player proximity. This information facilitated appropriate on- and off-game distancing behavior for teammates. Athletes regularly achieved around 80% of maximum HR during training, indicating anticipated improvements in achieving their physical intensities. Self-reported questionnaires related to the COVID management in the training camp revealed a sense of security among the athletes that allowed them to focus singularly on their training. The challenges discussed herein provided us considerable knowledge about creating and managing a safe environment for high-performing athletes in the COVID-19 pandemic via the Japan Sports–Cyber Physical System (JS–CPS) of the Sports Research Innovation Project (SRIP, Japan Sports Agency, Tokyo, Japan). This report is envisioned to provide informed decisions to coaches, trainers, policymakers from the sports federations in creating targeted, infection-free, sporting and training environments.

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Key Authentication Schemes for Medical Cyber Physical System

Information Security Handbook ◽

10.1201/9780367808228-8 ◽

2022 ◽

pp. 141-155

Author(s):

Zia ur Rehman ◽

Saud Altaf ◽

Saleem Iqbal ◽

Khalid Hussain ◽

Kashif Sattar

Keyword(s):

Physical System ◽

Cyber Physical System ◽

Authentication Schemes

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Optical cyber-physical system embedded on an FPGA for 3D measurement in structural health monitoring tasks

Microprocessors and Microsystems ◽

10.1016/j.micpro.2017.11.005 ◽

2018 ◽

Vol 56 ◽

pp. 121-133 ◽

Cited By ~ 8

Author(s):

Jesús Elías Miranda-Vega ◽

Wendy Flores-Fuentes ◽

Oleg Sergiyenko ◽

Moisés Rivas-López ◽

Lars Lindner ◽

...

Keyword(s):

Structural Health Monitoring ◽

Health Monitoring ◽

Physical System ◽

Cyber Physical System ◽

3D Measurement ◽

Structural Health

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Successful reboot of high-performance sporting activities by Japanese national women’s handball team in Tokyo, 2020 during the COVID-19 pandemic: An initiative by Japan Sports-Cyber Physical System (JS-CPS) of Sports Research Innovation Project (SRIP)

10.1101/2021.01.29.21250745 ◽

2021 ◽

Author(s):

Issei Ogasawara ◽

Shigeto Hamaguchi ◽

Ryosuke Hasegawa ◽

Yukihiro Akeda ◽

Naoki Ota ◽

...

Keyword(s):

Health Monitoring ◽

Physical System ◽

High Performance ◽

Cyber Physical System ◽

Practical Training ◽

Web Based ◽

Social Distancing ◽

Training Camp ◽

Acceleration Sensors ◽

Sporting Activities

AbstractBackgroundThe COVID-19 pandemic has negatively impacted sporting activities across the world. However, practical training strategies for athletes to reduce the risk of infection during the pandemic has not been definitively studied.ObjectiveThe purpose of this report was to provide an overview of our challenges encountered during the reboot of high-performance sporting activities of the Japanese national handball team during the 3rd wave of the COVID-19 pandemic in Tokyo, Japan.MethodsTwenty-nine Japanese national women’s handball players and 24 staff participated in the study. To initiate the reboot of their first training camp after COVID-19 stay-home social policy, we conducted: web-based health-monitoring, SARS-CoV-2 screening with polymerase chain reaction (PCR) test, real-time automated quantitative monitoring of social distancing on-court using video-based artificial intelligence (AI) algorithm, physical intensity evaluation with wearable heart rate (HR) and acceleration sensors, and self-reported online questionnaire.ResultsThe training camp was conducted successfully with no COVID-19 infections. The web-based health monitoring and the frequent PCR testing with short turnaround times contributed remarkably in early detection of athletes’ health problems and risk screening. During handball, the AI based on-court social-distancing monitoring revealed key time-dependent spatial metrics to define player-to-player proximity. This information facilitated positive team members’ on and off-game distancing behavior. Athletes regularly achieved around 80% of maximum HR during training, indicating anticipated improvements in achieving their physical intensities. Self-reported questionnaires related to the COVID management in the training camp revealed a sense of security among the athletes allowing them to focus singularly on their training.ConclusionThe current challenge provided us considerable know-how to create and manage a safe environment for high-performing athletes in the COVID-19 pandemic via the Japan Sports-Cyber Physical System (JS-CPS) of SRIP (Japan Sports Agency, Tokyo, Japan). This report is envisioned to provide informed decisions to coaches, trainers, policymakers from the sports federations in creating targeted, infection-free, sporting and training environments.

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Cyber-Physical system design with sensor networking technologies

10.1049/pbce096e ◽

2016 ◽

Cited By ~ 2

Keyword(s):

System Design ◽

Physical System ◽

Cyber Physical System ◽

Sensor Networking ◽

Networking Technologies

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Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

Journal of Science and Technology Issue on Information and Communications Technology ◽

10.31130/jst.2015.8 ◽

2015 ◽

Vol 1 ◽

pp. 26 ◽

Cited By ~ 1

Author(s):

Vo Que Son ◽

Do Tan A

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Physical System ◽

Patient Monitoring ◽

High Reliability ◽

Vital Signs ◽

Wireless Sensor ◽

Cyber Physical System ◽

Self Administration ◽

Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

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