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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

Abstract

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.

Keywords

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

Notes

Acknowledgments

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).

References

  1. 1.
    Van Emmerik, H., For better and for worse: adverse working conditions and the beneficial effects of mentoring. Career Dev. Int. 9(4):358–373, 2004.CrossRefGoogle Scholar
  2. 2.
    Li, X., Li, D., Wan, J., Vasilakos, A., Lai, C., and Wang, S., A Review of Industrial Wireless Networks in the Context of Industry 4.0. Wirel. Netw, 2015. doi: 10.1007/s11276-015-1133-7.Google Scholar
  3. 3.
    Liu, J., Wang, Q., Wan, J., and Xiong, J., Towards Real-time Indoor Localization in Wireless Sensor Networks, Proc. of the 12th IEEE Int. Conf. on Computer and Information Technology, Chengdu, China, pp. 877–884, 2012.Google Scholar
  4. 4.
    Han, G., Liu, L., Jiang, J., Shu, L., and Hancke, G., Analysis of energy-efficient connected target coverage algorithms for industrial wireless sensor networks. IEEE Trans. Ind. Inf., 2015. doi: 10.1109/TII.2015.2513767.Google Scholar
  5. 5.
    Wan, J., Zou, C., Ullah, S., Lai, C., Zhou, M., and Wang, X., Cloud-enabled wireless body area networks for pervasive healthcare. IEEE Netw. 27(5):56–61, 2013.CrossRefGoogle Scholar
  6. 6.
    Hassan, M., Lin, K., Yue, X., and Wan, J., A multimedia healthcare data sharing approach through cloud-based body area network. Futur. Gener. Comput. Syst., 2016. doi: 10.1016/j.future.2015.12.016.Google Scholar
  7. 7.
    Chen, M., Zhang, Y., Li, Y., Hassan, M., and Alamri, A., AIWAC: affective interaction through WearAble computing and cloud technology. IEEE Wirel. Commun. 22(1):20–27, 2015.CrossRefGoogle Scholar
  8. 8.
    Li, C.T., Lee, C.C., and Weng, C.Y., A Secure Cloud-Assisted Wireless Body Area Network in Mobile Emergency Medical Care System. J. Med. Syst. 40(5) Article:117, 2016.CrossRefPubMedGoogle Scholar
  9. 9.
    Ma, Y., Zhang, Y., Wan, J., Zhang, D., and Pan, N., Robot and cloud-assisted multi-modal healthcare system. Clust. Comput. 18(3):1295–1306, 2015.CrossRefGoogle Scholar
  10. 10.
    Wan, J., Zhang, D., Sun, Y., Lin, K., Zou, C., and Cai, H., VCMIA: a novel architecture for integrating vehicular cyber-physical systems and mobile cloud computing. Mob. Netw. Appl. 19(2):153–160, 2014.CrossRefGoogle Scholar
  11. 11.
    Wan, J., Tang, S., Yan, H., Li, D., Wang, S., and Vasilakos, A., Cloud robotics: current status and open issues. IEEE Access. 4:2797–2807, 2016.Google Scholar
  12. 12.
    Chen, M., Zhang, Y., Li, Y., Mao, S., and Leung, V., EMC: emotion-aware mobile cloud computing in 5G. IEEE Netw. 29(2):32–38, 2015.CrossRefGoogle Scholar
  13. 13.
    Chen, M., Ma, Y., Song, J., Lai, C.F., and Hu, B., Smart clothing: connecting human with clouds and big data for sustainable health monitoring. Mob. Netw. Appl., 2016. doi: 10.1007/s11036-016-0745-1.Google Scholar
  14. 14.
    Chen, M., Wan, J., González, S., Liao, X., and Leung, V., A survey of recent developments in home M2 M networks. IEEE Communications Surveys and Tutorials. 16(1):98–114, 2014.CrossRefGoogle Scholar
  15. 15.
    Zhang, Y., Chen, M., Mao, S., Hu, L., and Leung, V., CAP: Crowd Activity Prediction based on big data analysis. IEEE Netw. 28(4):52–57, 2014.CrossRefGoogle Scholar
  16. 16.
    Zhang, Y., et al., Health-CPS: healthcare cyber-physical system assisted by cloud and big data. IEEE Syst. J., 2015. doi: 10.1109/JSYST.2015.2460747.Google Scholar
  17. 17.
    Yuan, W., Deng, P., Taleb, T., Wan, J., and Bi, C., An unlicensed taxi identification model based on big data analysis. IEEE Trans. Intell. Transp. Syst. 17(6):1703–1713, 2016.CrossRefGoogle Scholar
  18. 18.
    Zhang, D., Wan, J., Liu, Q., Guan, X., and Liang, X., A taxonomy of agent technologies for ubiquitous computing environments. KSII Trans. Internet Inf. Syst. 6(2):547–565, 2012.Google Scholar
  19. 19.
    Wan, J., Li, D., Yan, H., and Zhang, P., Fuzzy feedback scheduling algorithm based on central processing unit utilization for a software-based computer numerical control system. Proc. Inst. Mech. Eng. B J. Eng. Manuf. 224(7):1133–1143, 2010.CrossRefGoogle Scholar
  20. 20.
    Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., and Leung, V., Body area networks: a survey. Mob. Netw. Appl. 16(2):171–193, 2011.CrossRefGoogle Scholar
  21. 21.
    Wu, L., Zhang, Y., Li, L., and Shen, J., Efficient and anonymous authentication scheme for wireless body area networks. J. Med. Syst. 40(6) Article:134, 2016.CrossRefPubMedGoogle Scholar
  22. 22.
    Wan, J., Yan, H., Li, D., Zhou, K., and Zeng, L., Cyber-physical Systems for Optimal Energy Management Scheme of autonomous electric vehicle. Comput. J. 56(8):947–956, 2013.CrossRefGoogle Scholar
  23. 23.
    Shu, Z., Wan, J., Zhang, D., and Li, D., Cloud-integrated cyber-physical Systems for Complex Industrial Applications. Mob. Netw. Appl., 2015. doi: 10.1007/s11036-015-0664-6.Google Scholar
  24. 24.
    Zhang, Y., et al., CADRE: cloud-assisted drug recommendation Service for Online Pharmacies. Mob. Netw. Appl. 20(3):348–355, 2015.CrossRefGoogle Scholar
  25. 25.
    Wang, S., Wan, J., Zhang, D., Li, D., and Zhang, C., Towards the smart factory for Industrie 4.0: a self-organized multi-agent system assisted with big data based feedback and coordination. Comput. Netw. 101:158–168, 2016.CrossRefGoogle Scholar
  26. 26.
    S. Wang, J. Wan, D. Li and C. Zhang, Implementing Smart Factory of Industrie 4.0: An Outlook, Int. J. Distrib. Sens. Netw., vol. 2016, Article ID 3159805, 10 pages, doi: 10.1155/2016/3159805 2016.
  27. 27.
    Zhang, Y., Chen, M., Huang, D., Wu, D., and Li, Y., iDoctor: personalized and professionalized medical recommendations based on hybrid matrix factorization. Futur. Gener. Comput. Syst.,, 2016. doi: 10.1016/j.future. 2015.12.001.Google Scholar
  28. 28.
    Zhang, Y., GroRec: a group-centric intelligent recommender system integrating social, mobile and big data technologies. IEEE Trans. Serv. Comput.,, 2016. doi: 10.1109/TSC.2016.2592520.Google Scholar
  29. 29.
    Chen, M., Gonzalez, S., Zhang, Q., Li, M., and Leung, V., A 2G-RFID based E-healthcare system. IEEE Wirel. Commun. 17(1):37–43, 2010.CrossRefGoogle Scholar

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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