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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-6982024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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