Towards self-aware heatstroke early-warning system based on healthcare IoT

Vivekanand Karmani, Aftab Ahmed Chandio, Priyanka Karmani, Moiz Chandio, Imtiaz Ali Korejo

Research output: Book chapter/Published conference paperConference paper

Abstract

This paper addresses a preliminary model for self-aware heatstroke early-warning system based on the healthcare internet of things (IoT). Basically, heatstroke is a syndrome caused by human’s body overheating, commonly due to lengthy exposure or physical exertion in excessive temperatures. Now-a-days, heatstroke is one of the most critical issues in human health due to global warming. The major goal of this research is to save valuable lives by proposing a self-aware heatstroke early-warning system by applying an advancement of healthcare IoT and machine learning technique. The proposed system is an easy to wear and cost-effective system that even middle class people can afford it. The system will use real-time sensor data obtained from the users in real-time outdoor and indoor experiment. In this system, we use an Arduino prototype which contains three different types of sensors including (a) temperature sensor, (b) pulse sensor and (c) breath sensor. In addition to this, the usage of analytics here can enhance accuracy and real-time capability, allow in-advance detection, and enable personalization.

Original languageEnglish
Title of host publicationProceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019
EditorsXin-She Yang, Nilanjan Dey, Amit Joshi
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages59-63
Number of pages5
ISBN (Electronic)9781728137803
DOIs
Publication statusPublished - 21 Nov 2019
Externally publishedYes
Event3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019 - Holiday Inn London, London, United Kingdom
Duration: 30 Jul 201931 Jul 2019
https://worlds4.co.uk/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8903996 (proceedings front matter and program)
https://ieeexplore.ieee.org/xpl/conhome/8892594/proceeding (full proceedings)

Publication series

NameProceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019

Conference

Conference3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019
CountryUnited Kingdom
CityLondon
Period30/07/1931/07/19
Internet address

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  • Cite this

    Karmani, V., Chandio, A. A., Karmani, P., Chandio, M., & Korejo, I. A. (2019). Towards self-aware heatstroke early-warning system based on healthcare IoT. In X-S. Yang, N. Dey, & A. Joshi (Eds.), Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019 (pp. 59-63). [8904006] (Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WorldS4.2019.8904006