Application of cardio-forecasting for evaluation of human-operator performance
| dc.contributor.author | Panda, Anton | |
| dc.contributor.author | Nahornyi, Volodymyr | |
| dc.contributor.author | Valicek, Jan | |
| dc.contributor.author | Harnicarova, Marta | |
| dc.contributor.author | Pandova, Iveta | |
| dc.contributor.author | Borzan, Cristina | |
| dc.contributor.author | Cehelsky, Samuel | |
| dc.contributor.author | Androvic, Lukas | |
| dc.contributor.author | Tozan, Hakan | |
| dc.contributor.author | Kusnerova, Milena | |
| dc.date.accessioned | 2020-01-22T07:34:43Z | |
| dc.date.available | 2020-01-22T07:34:43Z | |
| dc.date.issued | 2020 | |
| dc.department | İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü | |
| dc.department | İstanbul Medipol Üniversitesi, Rektörlük, Sağlık Sistemleri ve Politikaları Araştırma Merkezi | |
| dc.description.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. | |
| dc.description.sponsorship | project KEGA | en_US |
| dc.identifier.citation | 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 | |
| dc.identifier.doi | 10.3390/ijerph17010326 | |
| dc.identifier.issn | 1661-7827 | |
| dc.identifier.issn | 1660-4601 | |
| dc.identifier.issue | 1 | |
| dc.identifier.scopusquality | Q2 | |
| dc.identifier.uri | https://doi.org/10.3390/ijerph17010326 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/4916 | |
| dc.identifier.volume | 17 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.indekslendigikaynak | PubMed | |
| dc.language.iso | en | |
| dc.publisher | MDPI AG | |
| dc.relation.ispartof | International Journal of Environmental Research and Public Health | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | Attribution 4.0 International | * |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | Individual Limit of Working Capacity | |
| dc.subject | End of Heart Rate Amplitude | |
| dc.subject | Trend Model | |
| dc.subject | Identification of Model Parameters | |
| dc.subject | Cardiogram | |
| dc.subject | Model Coefficients | |
| dc.title | Application of cardio-forecasting for evaluation of human-operator performance | |
| dc.type | Article |
