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Analysis of Physiological Signal Characteristics of Persons Working at High Place

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Advances in Physical, Social & Occupational Ergonomics (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1215))

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Abstract

To enforce the management to the workers, measures should be taken to monitor the work’s condition. 30 subjects are selected for the experiments, which are performed in three scenarios, working on the ground, working at 2.0 m high with protective equipment, and working at 2.0 m high without protective equipment. The physiological signal data are obtained through the synchronization platform. Effective physiological signal fragments are extracted, and physiological signal data are extracted. Being compared with working on the ground, the results indicate that there are significant differences on Electrocardiogram (ECG) and Photoplethysmography (PPG) when working at high place whether the subjects wear the safety belt or not. Therefore, ECG and PPG should be paid more attention on the using of recognition, supervision, and improvement to the persons at high place.

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Acknowledgements

The presented work has been supported by General project of China University of Labor Relations (20XYJS020).

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Authors and Affiliations

  1. Department of Safety Engineering, China University of Labor Relations, Beijing, 100048, China

    Guilei Sun

  2. Institute of Safety and Occupational Hygiene, China University of Labor Relations, Beijing, 100048, China

    Guilei Sun

Authors
  1. Guilei Sun
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Corresponding author

Correspondence to Guilei Sun .

Editor information

Editors and Affiliations

  1. Industrial Engineering and Management System, University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Department IELM, Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Ravindra S. Goonetilleke

  3. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Shuping Xiong

  4. Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    Richard H. M. Goossens

  5. Okayama University, Okayama, Japan

    Atsuo Murata

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Sun, G. (2020). Analysis of Physiological Signal Characteristics of Persons Working at High Place. In: Karwowski, W., Goonetilleke, R., Xiong, S., Goossens, R., Murata, A. (eds) Advances in Physical, Social & Occupational Ergonomics. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1215. Springer, Cham. https://doi.org/10.1007/978-3-030-51549-2_36

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  • DOI: https://doi.org/10.1007/978-3-030-51549-2_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51548-5

  • Online ISBN: 978-3-030-51549-2

  • eBook Packages: EngineeringEngineering (R0)

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