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

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 worki...

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Autores principales: Panda, Anton, Nahornyi, Volodymyr, Valíček, Jan, Harničárová, Marta, Pandová, Iveta, Borzan, Cristina, Cehelský, Samuel, Androvič, Lukáš, Tozan, Hakan, Kušnerová, Milena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982024/
https://www.ncbi.nlm.nih.gov/pubmed/31906533
http://dx.doi.org/10.3390/ijerph17010326
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author Panda, Anton
Nahornyi, Volodymyr
Valíček, Jan
Harničárová, Marta
Pandová, Iveta
Borzan, Cristina
Cehelský, Samuel
Androvič, Lukáš
Tozan, Hakan
Kušnerová, Milena
author_facet Panda, Anton
Nahornyi, Volodymyr
Valíček, Jan
Harničárová, Marta
Pandová, Iveta
Borzan, Cristina
Cehelský, Samuel
Androvič, Lukáš
Tozan, Hakan
Kušnerová, Milena
author_sort Panda, Anton
collection PubMed
description 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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spelling pubmed-69820242020-02-07 Application of Cardio-Forecasting for Evaluation of Human—Operator Performance Panda, Anton Nahornyi, Volodymyr Valíček, Jan Harničárová, Marta Pandová, Iveta Borzan, Cristina Cehelský, Samuel Androvič, Lukáš Tozan, Hakan Kušnerová, Milena Int J Environ Res Public Health Article 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. MDPI 2020-01-02 2020-01 /pmc/articles/PMC6982024/ /pubmed/31906533 http://dx.doi.org/10.3390/ijerph17010326 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Panda, Anton
Nahornyi, Volodymyr
Valíček, Jan
Harničárová, Marta
Pandová, Iveta
Borzan, Cristina
Cehelský, Samuel
Androvič, Lukáš
Tozan, Hakan
Kušnerová, Milena
Application of Cardio-Forecasting for Evaluation of Human—Operator Performance
title Application of Cardio-Forecasting for Evaluation of Human—Operator Performance
title_full Application of Cardio-Forecasting for Evaluation of Human—Operator Performance
title_fullStr Application of Cardio-Forecasting for Evaluation of Human—Operator Performance
title_full_unstemmed Application of Cardio-Forecasting for Evaluation of Human—Operator Performance
title_short Application of Cardio-Forecasting for Evaluation of Human—Operator Performance
title_sort application of cardio-forecasting for evaluation of human—operator performance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982024/
https://www.ncbi.nlm.nih.gov/pubmed/31906533
http://dx.doi.org/10.3390/ijerph17010326
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