Literature DB >> 33806399

Evaluation of Functionality of Warning System in Smart Protective Clothing for Firefighters.

Anna Dąbrowska1, Grażyna Bartkowiak1, Rafał Kotas2.   

Abstract

Recent achievements in the field of miniaturization of electronics have led to a significant interest in its application into the protective clothing for firefighters in order to improve their safety and health. However, up to now there are not any requirements and standardized test methods enabling confirmation of safety of use and functionality of these systems in work environment. In the paper, an importance of evaluation of such smart wearable system in predicted utility conditions is highlighted. Three variants of the specially developed personal warning systems (PWSs) for integration with either health status or environmental sensors to be used in smart protective clothing for firefighters are presented, i.e., with LCD display, LED diodes and vibrating element. For the purpose of evaluation a new testing methodology was developed. The PWSs were evaluated on a basis of perception of warning signals by firefighters in simulated utility conditions including temperature, light, noise, fog and performed activities. In the case of marching, even 75% of signals generated by PWS with LCD display were not received. Physical activity did not influence on functionality of PWS with vibrating element. For the PWS with LED diodes, the signal was received statistically significantly quicker than in the case of other PWS and the mean value of voice response time was below 3 s.

Entities:  

Keywords:  firefighters; smart PPE; smart clothing; warning systems; wearables

Mesh:

Year:  2021        PMID: 33806399      PMCID: PMC7962023          DOI: 10.3390/s21051767

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  5 in total

1.  Stress monitoring using a distributed wireless intelligent sensor system.

Authors:  Emil Jovanov; Amanda O'Donnell Lords; Dejan Raskovic; Paul G Cox; Reza Adhami; Frank Andrasik
Journal:  IEEE Eng Med Biol Mag       Date:  2003 May-Jun

2.  Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine.

Authors:  Dongrae Cho; Jinsil Ham; Jooyoung Oh; Jeanho Park; Sayup Kim; Nak-Kyu Lee; Boreom Lee
Journal:  Sensors (Basel)       Date:  2017-10-24       Impact factor: 3.576

3.  Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels-A Pilot Study on Firefighters.

Authors:  Michał Meina; Ewa Ratajczak; Maria Sadowska; Krzysztof Rykaczewski; Joanna Dreszer; Bibianna Bałaj; Stanisław Biedugnis; Wojciech Węgrzyński; Adam Krasuski
Journal:  Sensors (Basel)       Date:  2020-05-16       Impact factor: 3.576

4.  Multi-Sensor Data Fusion in A Real-Time Support System for On-Duty Firefighters.

Authors:  Van Thanh Pham; Quang Bon Le; Duc Anh Nguyen; Nhu Dinh Dang; Huu Tue Huynh; Duc Tan Tran
Journal:  Sensors (Basel)       Date:  2019-11-01       Impact factor: 3.576

5.  Extreme sacrifice: sudden cardiac death in the US Fire Service.

Authors:  Denise L Smith; David A Barr; Stefanos N Kales
Journal:  Extrem Physiol Med       Date:  2013-02-01
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.