Panda, AntonNahornyi, VolodymyrValicek, JanHarnicarova, MartaPandova, IvetaBorzan, CristinaCehelsky, SamuelAndrovic, LukasTozan, HakanKusnerova, Milena2020-01-222020-01-222020Panda, A., Nahornyi, V., Valicek, J., Harnicarova, M., Pandova, I., Borzan, C. ... Kusnerova, M. (2020). Application of cardio-forecasting for evaluation of human-operator performance. International Journal of Environmental Research and Public Health, 17(1). https://doi.org/10.3390/ijerph170103261661-78271660-4601https://doi.org/10.3390/ijerph17010326https://hdl.handle.net/20.500.12511/4916The 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.enAttribution 4.0 Internationalinfo:eu-repo/semantics/openAccessIndividual Limit of Working CapacityEnd of Heart Rate AmplitudeTrend ModelIdentification of Model ParametersCardiogramModel CoefficientsArticle17110.3390/ijerph17010326Q1Q2