A wearable wireless multiprotocol health monitoring system for workers operating in hazardous enviroments

This paper presents the research activity finalized to the development of a complete wearable sensors network for health monitoring in workplaces with particular reference to confined workspaces. The proposed network will incorporate gas sensors, vibration sensors, and sensors to provide real-time monitoring and analysis of various physiological parameters related to the well-being and safety of individuals in work environments. Furthermore, with slight modifications, the proposed solution can be adapted to environmental monitoring, soft robots, and athletes monitoring, expanding its potential applications and impact. Moreover, sensor network data can be collected and analysed to enable predictions of possibly unusual/hazardous environmental and personal conditions to alert for rapid intervention. In this paper, the first prototype of a complete wearable sensor network for the monitoring of environmental conditions, worker heart rate and mechanical vibrations, is described.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/isse63315.2024.10741095
Citations
1
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.25
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A wearable wireless multiprotocol health monitoring system for workers operating in hazardous enviroments

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1 citations
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article

A wearable wireless multiprotocol health monitoring system for workers operating in hazardous enviroments

David Baldo, Elia Landi, Valerio Vignoli, Ada Fort, Lorenzo Parri, Marco Tani, Riccardo Moretti
article en
1 citations

Abstract

This paper presents the research activity finalized to the development of a complete wearable sensors network for health monitoring in workplaces with particular reference to confined workspaces. The proposed network will incorporate gas sensors, vibration sensors, and sensors to provide real-time monitoring and analysis of various physiological parameters related to the well-being and safety of individuals in work environments. Furthermore, with slight modifications, the proposed solution can be adapted to environmental monitoring, soft robots, and athletes monitoring, expanding its potential applications and impact. Moreover, sensor network data can be collected and analysed to enable predictions of possibly unusual/hazardous environmental and personal conditions to alert for rapid intervention. In this paper, the first prototype of a complete wearable sensor network for the monitoring of environmental conditions, worker heart rate and mechanical vibrations, is described.

University of Siena (IT)
Openalex Percentile: Top 45%
Context-Aware Activity Recognition Systems
0.25
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