Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
The Application of Industry 4.0 Technologies for Automated Health Monitoring and Surveillance During Pandemics and Post-Pandemic Life Publisher



Marateb HR1 ; Rojasmartinez M1 ; Zamani S2 ; Shirzadi M1 ; Koochekian A3 ; Mananas MA1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Biomedical Engineering Research Centre (CREB), Automatic Control Department (ESAII), Universitat Politecnica de Catalunya-Barcelona Tech (UPC), Barcelona, Spain
  2. 2. Biomedical Engineering Department, Engineering Faculty, University of Isfahan, Iran
  3. 3. Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Advanced Signal Processing for Industry 4.0, Volume 1: Evolution, communication protocols, and applications in manufacturing systems Published:2023


Abstract

Industry 4.0 signifies a new step in the control and organization of the manufacturing value chain. It can provide better digital solutions for our day-to-day lives during pandemics and post-pandemic life, including better activity planning, global public health emergencies, and risk assessment. The Internet of Things (IoT), as a part of Industry 4.0, brings new opportunities in various applications, including smart healthcare and cities. The combination of an IoT system and artificial intelligence (AI) has the following capabilities in pandemic management: public security improvement, contact tracing to access public places, and automated diagnosis and post-pandemic prognosis. In this chapter, we discuss the contribution of Industry 4.0 (IoT, digitalization, Big Data, AI, and cloud-based computing) for automatic surveillance and health monitoring during pandemics and post-pandemic life. More than fifty papers published in 2020-2 were analyzed in this chapter. © IOP Publishing Ltd 2023. All rights reserved.
Related Docs
1. Covid-Safe: An Iot-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life, IEEE Access (2020)
2. Investigating the Effective Factors of Using Mhealth Apps for Monitoring Covid-19 Symptoms and Contact Tracing: A Survey Among Iranian Citizens, International Journal of Medical Informatics (2021)
3. Challenges and Opportunities of Digital Health in a Post-Covid19 World, Journal of Research in Medical Sciences (2021)
4. Absolute Mortality Risk Assessment of Covid-19 Patients: The Khorshid Covid Cohort (Kcc) Study, BMC Medical Research Methodology (2021)
Experts (# of related papers)
View all Related Experts
Ramin Sami (2)
Marjan Mansourian (2)