Journal of Medical Systems

, 40:222 | Cite as

Health Monitoring and Management for Manufacturing Workers in Adverse Working Conditions

  • Xiaoya Xu
  • Miao ZhongEmail author
  • Jiafu Wan
  • Minglun Yi
  • Tiancheng Gao
Patient Facing Systems
Part of the following topical collections:
  1. Smart and Interactive Healthcare Systems


In adverse working conditions, environmental parameters such as metallic dust, noise, and environmental temperature, directly affect the health condition of manufacturing workers. It is therefore important to implement health monitoring and management based on important physiological parameters (e.g., heart rate, blood pressure, and body temperature). In recent years, new technologies, such as body area networks, cloud computing, and smart clothing, have allowed the improvement of the quality of services. In this article, we first give five-layer architecture for health monitoring and management of manufacturing workers. Then, we analyze the system implementation process, including environmental data processing, physical condition monitoring and system services and management, and present the corresponding algorithms. Finally, we carry out an evaluation and analysis from the perspective of insurance and compensation for manufacturing workers in adverse working conditions. The proposed scheme will contribute to the improvement of workplace conditions, realize health monitoring and management, and protect the interests of manufacturing workers.


Health monitoring and management Body area networks Cloud computing Industrial wireless networks 



This work was supported by the National Natural Science Foundation of China (Nos. 61572220, and 61262013), the Fundamental Research Funds for the Central Universities (No. 2015ZZ079), the Water Resource Science and Technology Innovation Program of Guangdong Province (No. 2016-18), the Natural Science Foundation of Guangdong Province, China (Nos. 2016 A030313734 and 2016 A030313735), and the Quality Project of Guangdong Province Office of Education (No. 2016-135).


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Xiaoya Xu
    • 1
  • Miao Zhong
    • 2
    Email author
  • Jiafu Wan
    • 3
  • Minglun Yi
    • 4
  • Tiancheng Gao
    • 5
  1. 1.Guangdong Mechanical & Electrical CollegeGuangzhouChina
  2. 2.Guangdong University of EducationGuangzhouChina
  3. 3.School of Mechanical & Automotive EngineeringSouth China University of TechnologyGuangzhouChina
  4. 4.School of Electrical Engineering and AutomationJiangxi University of Science and TechnologyGanzhouChina
  5. 5.North Information Control Group Company LimitedNanjingChina

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