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Article

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

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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
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Department of Computer Science, Faculty of Electronics and Information Technologies, Sumy State University, Rimsky-Korsakov, 2, 44007 Sumy, Ukraine
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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
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Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic
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Department of Public Health and Management, Iuliu Hatieganu University of Medicine and Pharmacy, Strada Victor Babeș 8, 400000 Cluj-Napoca, Romania
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Department of Industrial Engineering, School of Engineering and Natural Sciences, Istanbul Medipol University, Kavacik Mh. Ekinciler Cd., 34010 Istanbul, Turkey
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Health Systems and Policies Research Center, Istanbul Medipol University, Kavacik Mh. Ekinciler Cd., 34010 Istanbul, Turkey
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Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(1), 326; https://doi.org/10.3390/ijerph17010326
Received: 19 November 2019 / Revised: 30 December 2019 / Accepted: 31 December 2019 / Published: 2 January 2020
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. View Full-Text
Keywords: individual limit of working capacity; trend of heart rate amplitude; trend model; identification of model parameters; cardiogram; model coefficients individual limit of working capacity; trend of heart rate amplitude; trend model; identification of model parameters; cardiogram; model coefficients
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MDPI and ACS Style

Panda, A.; Nahornyi, V.; Valíček, J.; Harničárová, M.; Pandová, I.; Borzan, C.; Cehelský, S.; Androvič, L.; Tozan, H.; Kušnerová, M. Application of Cardio-Forecasting for Evaluation of Human—Operator Performance. Int. J. Environ. Res. Public Health 2020, 17, 326. https://doi.org/10.3390/ijerph17010326

AMA Style

Panda A, Nahornyi V, Valíček J, Harničárová M, Pandová I, Borzan C, Cehelský S, Androvič L, Tozan H, Kušnerová M. Application of Cardio-Forecasting for Evaluation of Human—Operator Performance. International Journal of Environmental Research and Public Health. 2020; 17(1):326. https://doi.org/10.3390/ijerph17010326

Chicago/Turabian Style

Panda, Anton, Volodymyr Nahornyi, Jan Valíček, Marta Harničárová, Iveta Pandová, Cristina Borzan, Samuel Cehelský, Lukáš Androvič, Hakan Tozan, and Milena Kušnerová. 2020. "Application of Cardio-Forecasting for Evaluation of Human—Operator Performance" International Journal of Environmental Research and Public Health 17, no. 1: 326. https://doi.org/10.3390/ijerph17010326

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