Application of cardio-forecasting for evaluation of human-operator performance

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Tarih

2020

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

MDPI AG

Erişim Hakkı

Attribution 4.0 International
info:eu-repo/semantics/openAccess

Özet

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.

Açıklama

Anahtar Kelimeler

Individual Limit of Working Capacity, End of Heart Rate Amplitude, Trend Model, Identification of Model Parameters, Cardiogram, Model Coefficients

Kaynak

International Journal of Environmental Research and Public Health

WoS Q Değeri

Q1

Scopus Q Değeri

Q2

Cilt

17

Sayı

1

Künye

Panda, 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/ijerph17010326