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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.
Appears in Collections: Наукові видання (ЕлІТ)

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