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IoT-Based Approaches to Personnel Health Monitoring in Emergency Response

Author

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  • Jialin Wu

    (College of Safety Science and Engineering, Nanjing Tech University, Nanjing 211816, China)

  • Yongqi Tang

    (College of Safety Science and Engineering, Nanjing Tech University, Nanjing 211816, China)

  • Feifan He

    (School of Safety Science, Tsinghua University, Beijing 100084, China)

  • Zhichao He

    (Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China)

  • Yunting Tsai

    (College of Safety Science and Engineering, Nanjing Tech University, Nanjing 211816, China)

  • Wenguo Weng

    (School of Safety Science, Tsinghua University, Beijing 100084, China)

Abstract

The health and operational continuity of emergency responders are fundamental pillars of sustainable and resilient disaster management systems. These personnel operate in high-risk environments, exposed to intense physical, environmental, and psychological stress. This makes it crucial to monitor their health to safeguard their well-being and performance. Traditional methods, which rely on intermittent, voice-based check-ins, are reactive and create a dangerous information gap regarding a responder’s real-time health and safety. To address this sustainability challenge, the convergence of the Internet of Things (IoT) and wearable biosensors presents a transformative opportunity to shift from reactive to proactive safety monitoring, enabling the continuous capture of high-resolution physiological and environmental data. However, realizing a field-deployable system is a complex “system-of-systems” challenge. This review contributes to the field of sustainable emergency management by analyzing the complete technological chain required to build such a solution, structured along the data workflow from acquisition to action. It examines: (1) foundational health sensing technologies for bioelectrical, biophysical, and biochemical signals; (2) powering strategies, including low-power design and self-powering systems via energy harvesting; (3) ad hoc communication networks (terrestrial, aerial, and space-based) essential for infrastructure-denied disaster zones; (4) data processing architectures, comparing edge, fog, and cloud computing for real-time analytics; and (5) visualization tools, such as augmented reality (AR) and heads-up displays (HUDs), for decision support. The review synthesizes these components by discussing their integrated application in scenarios like firefighting and urban search and rescue. It concludes that a robust system depends not on a single component but on the seamless integration of this entire technological chain, and highlights future research directions crucial for quantifying and maximizing its impact on sustainable development goals (SDGs 3, 9, and 11) related to health, sustainable cities, and resilient infrastructure.

Suggested Citation

  • Jialin Wu & Yongqi Tang & Feifan He & Zhichao He & Yunting Tsai & Wenguo Weng, 2025. "IoT-Based Approaches to Personnel Health Monitoring in Emergency Response," Sustainability, MDPI, vol. 18(1), pages 1-25, December.
  • Handle: RePEc:gam:jsusta:v:18:y:2025:i:1:p:365-:d:1829364
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