Towards an Efficient Physiological-Based Worker Health Monitoring System in Construction: An Adaptive Filtering Method for Removing Motion Artifacts in Physiological Signals of Workers-Reference-Cited by-同舟云学术

Towards an Efficient Physiological-Based Worker Health Monitoring System in Construction: An Adaptive Filtering Method for Removing Motion Artifacts in Physiological Signals of Workers

Published:2024-01-25 Issue: Volume:7 Page:483-491
ISSN:
Container-title:Computing in Civil Engineering 2023
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Author:

Liu Yizhi¹²¹³⁴,Gautam Yogesh¹²¹³⁴,Shayesteh Shayan¹²¹³⁴,Jebelli Houtan¹²¹³⁴,Mahdi Khalili Mohammad¹²¹³⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Architectural Engineering, Pennsylvania State Univ., State College, PA.

2. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Illinois Urbana-Champaign, Champaign, IL.

3. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois Urbana-Champaign, Champaign, IL.

4. Assistant Professor, Dept. of Computer Science and Engineering, Ohio State Univ., Columbus, OH.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485248.058

Reference19 articles.

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3. Han H. M.-J. Kim and J. Kim. 2007. “Development of real-time motion artifact reduction algorithm for a wearable photoplethysmography.” 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 1538–1541. IEEE.

4. Jebelli H. and B. Choi. 2018. “Feasibility Study of a Wristband-Type Wearable Sensor to Understand Construction Workers’ Physical and Mental Status.” Construction Research Congress 367–377. New Orleans Louisiana.

5. Application of Wearable Biosensors to Construction Sites. II: Assessing Workers’ Physical Demand;Jebelli H.;Journal of Construction Engineering and Management,2019

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