IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i1p326-d304574.html
   My bibliography  Save this article

Application of Cardio-Forecasting for Evaluation of Human—Operator Performance

Author

Listed:
  • Anton Panda

    (Department of Automobile and Manufacturing Technologies, Faculty of Manufacturing Technologies with a Seat in Prešov, Technical University of Kosice, Bayerova 1, 080 01 Prešov, Slovakia)

  • Volodymyr Nahornyi

    (Department of Computer Science, Faculty of Electronics and Information Technologies, Sumy State University, Rimsky-Korsakov, 2, 44007 Sumy, Ukraine)

  • Jan Valíček

    (Department of Electrical Engineering, Faculty of Engineering, Slovak University of Agriculture in Nitra, Automation and Informatics, Trieda Andreja Hlinku 609/2, 949 76 Nitra, Slovakia
    Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic)

  • Marta Harničárová

    (Department of Electrical Engineering, Faculty of Engineering, Slovak University of Agriculture in Nitra, Automation and Informatics, Trieda Andreja Hlinku 609/2, 949 76 Nitra, Slovakia
    Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic)

  • Iveta Pandová

    (Department of Automobile and Manufacturing Technologies, Faculty of Manufacturing Technologies with a Seat in Prešov, Technical University of Kosice, Bayerova 1, 080 01 Prešov, Slovakia)

  • Cristina Borzan

    (Department of Public Health and Management, Iuliu Hatieganu University of Medicine and Pharmacy, Strada Victor Babeș 8, 400000 Cluj-Napoca, Romania)

  • Samuel Cehelský

    (Department of Automobile and Manufacturing Technologies, Faculty of Manufacturing Technologies with a Seat in Prešov, Technical University of Kosice, Bayerova 1, 080 01 Prešov, Slovakia)

  • Lukáš Androvič

    (Department of Automobile and Manufacturing Technologies, Faculty of Manufacturing Technologies with a Seat in Prešov, Technical University of Kosice, Bayerova 1, 080 01 Prešov, Slovakia)

  • Hakan Tozan

    (Department of Industrial Engineering, School of Engineering and Natural Sciences, Istanbul Medipol University, Kavacik Mh. Ekinciler Cd., 34010 Istanbul, Turkey
    Health Systems and Policies Research Center, Istanbul Medipol University, Kavacik Mh. Ekinciler Cd., 34010 Istanbul, Turkey)

  • Milena Kušnerová

    (Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic)

Abstract

The paper presents the results of the development of the cardio-forecasting technology, which introduces a new method to monitor the state of human-operator, which is characteristic for the given production conditions and for individual operators, to predict the moment of exhaustion of his/her working capacity. The work aims to demonstrate the unique, distinctive features of the cardio-forecasting technology for predicting an individual limit of his/her working capacity for each person. A unique methodology for predicting individually for each person the moment when he/she reaches the limit of his/her working capacity is based on a spectral analysis of a human phonocardiogram in order to isolate the frequency component located at the heart contraction frequency. The trend of the amplitude of this component is approximated by its model; consequently, the coefficients of the trend model are determined. They include the operator’s operating time until his/her working capacity is exhausted. A methodology for predicting the moment when he/she reaches the limit of his/her working capacity for each person individually and assessment based on this degree of criticality of their condition will be realized as a software application for smartphones using the Android operating system.

Suggested Citation

  • Anton Panda & Volodymyr Nahornyi & Jan Valíček & Marta Harničárová & Iveta Pandová & Cristina Borzan & Samuel Cehelský & Lukáš Androvič & Hakan Tozan & Milena Kušnerová, 2020. "Application of Cardio-Forecasting for Evaluation of Human—Operator Performance," IJERPH, MDPI, vol. 17(1), pages 1-12, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:1:p:326-:d:304574
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/1/326/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/1/326/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marit Skogstad & Asgeir Mamen & Lars-Kristian Lunde & Bente Ulvestad & Dagfinn Matre & Hans Christian D. Aass & Reidun Øvstebø & Pia Nielsen & Kari N. Samuelsen & Øivind Skare & Per Anton Sirnes, 2019. "Shift Work Including Night Work and Long Working Hours in Industrial Plants Increases the Risk of Atherosclerosis," IJERPH, MDPI, vol. 16(3), pages 1-11, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dagfinn Matre & Per Anton Sirnes & Elisabeth Goffeng & Øivind Skare & Marit Skogstad, 2022. "Sleep Duration, Number of Awakenings and Arterial Stiffness in Industrial Shift Workers: A Five-Week Follow-Up Study," IJERPH, MDPI, vol. 19(4), pages 1-9, February.
    2. Asgeir Mamen & Reidun Øvstebø & Per Anton Sirnes & Pia Nielsen & Marit Skogstad, 2020. "High-Intensity Training Reduces CVD Risk Factors among Rotating Shift Workers: An Eight-Week Intervention in Industry," IJERPH, MDPI, vol. 17(11), pages 1-13, June.
    3. Xiangcheng Meng & Huaiyuan Zhai & Alan H. S. Chan, 2019. "Development of Scales to Measure and Analyse the Relationship of Safety Consciousness and Safety Citizenship Behaviour of Construction Workers: An Empirical Study in China," IJERPH, MDPI, vol. 16(8), pages 1-18, April.
    4. Young Jin Ra & Young Jin Tak & Yun Jin Kim & Sang Yeoup Lee & Jeong Gyu Lee & Yu Hyeon Yi & Young Hye Cho & Hye Rim Hwang & Seung Hun Lee & Eun Ju Park & Young In Lee, 2020. "Association of Work Patterns and Periodontitis Prevalence in Korean Adults Aged 50 Years or Older: A Nationwide Representative Study," IJERPH, MDPI, vol. 17(11), pages 1-11, June.
    5. Xiangcheng Meng & Alan H. S. Chan, 2022. "Cross-Regional Research in Demographic Impact on Safety Consciousness and Safety Citizenship Behavior of Construction Workers: A Comparative Study between Mainland China and Hong Kong," IJERPH, MDPI, vol. 19(19), pages 1-18, October.
    6. Kapo Wong & Alan H. S. Chan & S. C. Ngan, 2019. "The Effect of Long Working Hours and Overtime on Occupational Health: A Meta-Analysis of Evidence from 1998 to 2018," IJERPH, MDPI, vol. 16(12), pages 1-22, June.
    7. Waléria D. P. Gusmão & Isabele R. O. M. Pureza & Claudia R. C. Moreno, 2022. "Shift Work and Early Arterial Stiffness: A Systematic Review," IJERPH, MDPI, vol. 19(21), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:1:p:326-:d:304574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.