Abstract
Industry 4.0 is preparing to confront the difficulties arising due to the COVID-19 pandemic. These advances can provide automated and computer-assisted services for our day-to-day lives during this emergency. Different advantages of Industry 4.0 that can be conceived for alleviating impacts of COVID-19 pandemic are (i) manufacturing of prudent things identified with this infection,(ii) providing clinical assistance on time, utilizing the graceful chain, (iii) automating the clinical assistance and treatment to the infected patient to lessen the burden of specialists, (iv) learning from the experience and generate better machine learning models, (v) providing a few developments with the assistance of advance assembling and computerized innovations, and (vi) developing better hazard appraisal and worldwide general wellbeing crisis of this infection. This chapter provides details about the sensing systems used for healthcare in the view of COVID-19 crises.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
https://www.medicaldesignandoutsourcing.com/this-sensor-could-detect-covid-19-in-the-air/
Gupta, M., Abdelsalam, M., Mittal S.: Enabling and enforcing social distancing measures using smart city and its infrastructures: a COVID-19 Use case. arXiv preprint arXiv:2004.09246 (2020)
Rashid, M.T., Wang, D.: COVIDSens: a vision on reliable social sensing based risk alerting systems for COVID-19 spread. arXiv preprint arXiv:2004.04565 (2020)
Domínguez, D., Morales, L., Sanchez, N., Navarro-Pando, J.: IoMT-driven eHealth: a technological innovation proposal based on smart speakers. In: International Work-Conference on Bioinformatics and Biomedical Engineering. Cham: Springer
Vishnu, S., Ramson, S.J., Jegan, R.: Internet of medical things (IoMT)-An overview. In: 2020 5th International Conference on Devices, Circuits, and Systems (ICDCS). IEEE (2020)
Sayeed, M.A., Mohanty, S.P., Kougianos, E., Zaveri, H.: iDDS: an edge-device in IoMT for automatic seizure control using on-time drug delivery. In: 2020 IEEE International Conference on Consumer Electronics (ICCE), pp 1–6. IEEE (2020)
Rachakonda, L., Mohanty, S.P., Kougianos, E.: iLog: an intelligent device for automatic food intake monitoring and stress detection in the IoMT. IEEE Trans. Consum. Electron. (2020)
Wei, K., Zhang, L., Guo, Y., Jiang, X.: Health monitoring based on the internet of medical things: architecture, enabling technologies, and applications, pp. 27468–27478. IEEE Access (2020)
Maghdid, H.S., Ghafoor, K.Z., Sadiq, A.S., Curran, K., Rabie, K.: A novel AI-enabled framework to diagnose coronavirus COVID-19 using smartphone embedded sensors: design study. arXiv preprint arXiv:2003.07434 (2020)
Maddah, E., Beigzadeh, B.: Use of a smartphone thermometer to monitor thermal conductivity changes in diabetic foot ulcers: a pilot study. J. Wound Care 29(1), 61–66 (2020)
Mohammed, M.N., Syamsudin, H, Al-Zubaidi, S., Rusyaizila Ramli, S.A.K, Yusuf, E.: Novel COVID-19 detection and diagnosis system using IoT based smart helmet. Int. J. Psychosoc. Rehabil. 24(7), 2020
Ding, X.-R., Clifton, D., Nan, J.I., Lovell, N.H., Bonato, P., Chen, W., Yu, X., et al.: Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic. IEEE Rev. Biomed. Eng. https://doi.org/10.1109/rbme.2020.2992838
https://futureiot.tech/iot-developers-to-focus-more-smart-healthcare-post-covid-19/
https://iot-analytics.com/the-impact-of-COVID-19-on-the-internet-of-things/
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Udgata, S.K., Suryadevara, N.K. (2021). COVID-19, Sensors, and Internet of Medical Things (IoMT). In: Internet of Things and Sensor Network for COVID-19. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-15-7654-6_3
Download citation
DOI: https://doi.org/10.1007/978-981-15-7654-6_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-7656-0
Online ISBN: 978-981-15-7654-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)