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Title | Application of Cardio-Forecasting for Evaluation of Human—Operator Performance |
Authors |
Panda, A.
Nahornyi, Volodymyr Viacheslavovych ![]() Valícek, J. Harnicarova, M. Pandova, I. Borzan, C. Cehelsky, S. Androvic, L. Tozan, H. Kusnerova, M. |
ORCID |
http://orcid.org/0000-0001-5223-7219 |
Keywords |
individual limit of working capacity trend of heart rate amplitude trend model identification of model parameters cardiogram model coefficients |
Type | Article |
Date of Issue | 2020 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/82616 |
Publisher | MDPI |
License | Creative Commons Attribution 4.0 International License |
Citation | 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. |
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. |
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Nahornyi_ijerph_2020.pdf | 4.3 MB | Adobe PDF | 1705598 |
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