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dc.contributor.author | Лупенко, Сергій Анатолійович | |
dc.contributor.author | Буцій, Роман Андрійович | |
dc.contributor.author | Lupenko, Serhii | |
dc.contributor.author | Butsiy, Roman | |
dc.date.accessioned | 2024-04-17T10:57:25Z | - |
dc.date.available | 2024-04-17T10:57:25Z | - |
dc.date.created | 2024-03-19 | |
dc.date.issued | 2024-03-19 | |
dc.date.submitted | 2024-01-02 | |
dc.identifier.citation | Lupenko S. Express method of biometric person authentication based on one cycle of the ecg signal / Serhii Lupenko, Roman Butsiy // Scientific Journal of TNTU. — Tern. : TNTU, 2024. — Vol 113. — No 1. — P. 100–110. | |
dc.identifier.issn | 2522-4433 | |
dc.identifier.uri | http://elartu.tntu.edu.ua/handle/lib/44677 | - |
dc.description.abstract | Присвячено експрес-методу біометричної аутентифікації особи на основі електрокардіограми (ЕКГ). Метод характеризується високою точністю (ефективністю) аутентифікації особи на основі лише одного циклу її ЕКГ. Такі характеристики, як Accuracy, Balanced Accuracy та F1-score в середньому не нижчі за 96.1% для таких бінарних класифікаторів, як k-Nearest Neighbors, Linear SVM, Decision Tree, Random Forest, Multilayer Perceptron, Adaptive Boosting, Naive Bayes і Statistical Interval Classifier. У дослідженні використано базу даних Combined Measurement of ECG, Breathing, and Seismocardiograms, яка містить дані від 20 здорових людей. Розроблено метод побудови довірчих інтервалів для циклів ЕКГ, що базується на ритмо-адаптивній статистичній оцінці математичного сподівання та стандартного відхилення сигналу ЕКГ. Метод побудови довірчих інтервалів лежить в основі функціонування Statistical Interval Classifier у системі біометричної аутентифікації особи. Statistical Interval Classifier має найнижчу часову обчислювальну складність серед восьми досліджених класифікаторів, що виправдовує його використання в портативних системах біометричної аутентифікації, які мають незначні обчислювальні ресурси | |
dc.description.abstract | The article is devoted to an express method of biometric authentication of a person based on an electrocardiogram (ECG). The method is characterized by high accuracy (efficiency) of authentication of a person based on only one cycle of its ECG. Such characteristics as Accuracy, Balanced Accuracy and F1-score on average are not lower than 96.1% for such binary classifiers as k-Nearest Neighbors, Linear SVM, Decision Tree, Random Forest, Multilayer Perceptron, Adaptive Boosting, Naive Bayes and Statistical Interval Classifier. The research utilized the Combined Measurement of ECG, Breathing, and Seismocardiograms database, whicfeatures data from 20 healthy people. A method of constructing confidence intervals for ECG cycles has been developed, which is based on the rhythm-adaptive statistical estimation of the mathematical expectation and the standard deviation of the ECG signal. The method of constructing confidence intervals is based on the functioning of the Statistical Interval Classifier in the system of biometric authentication of a person. The Statistical Interval Classifier has the lowest time computational complexity among the 8 studied classifiers, which justifies its use in portable biometric authentication systems that have negligible computing resources | |
dc.format.extent | 100-110 | |
dc.language.iso | en | |
dc.publisher | ТНТУ | |
dc.publisher | TNTU | |
dc.relation.ispartof | Вісник Тернопільського національного технічного університету, 1 (113), 2024 | |
dc.relation.ispartof | Scientific Journal of the Ternopil National Technical University, 1 (113), 2024 | |
dc.relation.uri | https://doi.org/10.1109/CCECE.2001.933649 | |
dc.relation.uri | https://doi.org/10.1007/978-3-642-29305-4_149 | |
dc.relation.uri | https://doi.org/10.1109/BCC.2006.4341628 | |
dc.relation.uri | https://doi.org/10.1016/j.patrec.2007.01.014 | |
dc.relation.uri | https://doi.org/10.3390/s22062202 | |
dc.relation.uri | https://doi.org/10.1002/tee.21970 | |
dc.relation.uri | https://doi.org/10.14722/ndss.2017.23408 | |
dc.relation.uri | https://doi.org/10.1007/978-3-319-23461-8_27 | |
dc.relation.uri | https://doi.org/10.1109/TIM.2022.3199260 | |
dc.relation.uri | https://doi.org/10.1117/12.819327 | |
dc.relation.uri | https://doi.org/10.1016/j.bspc.2020.102226 | |
dc.relation.uri | https://doi.org/10.1109/TIM.2007.909996 | |
dc.relation.uri | https://doi.org/10.1109/BTAS.2010.5634478 | |
dc.relation.uri | https://doi.org/10.13026/C2KW23 | |
dc.relation.uri | https://doi.org/10.1161/01.CIR.101.23.e215 | |
dc.relation.uri | https://doi.org/10.1016/j.dsp.2023.104104 | |
dc.relation.uri | https://doi.org/10.3390/math10183406 | |
dc.relation.uri | https://doi.org/10.32782/cmis/2864-17 | |
dc.subject | біометрична аутентифікація | |
dc.subject | електрокардіограма | |
dc.subject | циклічно корельований випадковий процес | |
dc.subject | нормалізація сигналів | |
dc.subject | класифікація сигналів | |
dc.subject | biometric authentication | |
dc.subject | electrocardiogram signal | |
dc.subject | cyclically correlated random process | |
dc.subject | signals normalization | |
dc.subject | signals classification | |
dc.title | Express method of biometric person authentication based on one cycle of the ecg signal | |
dc.title.alternative | Експрес-метод біометричної аутентифікації особи на основі одного циклу сигналу ЕКГ | |
dc.type | ||
dc.rights.holder | © Тернопільський національний технічний університет імені Івана Пулюя, 2024 | |
dc.coverage.placename | Тернопіль | |
dc.coverage.placename | Ternopil | |
dc.format.pages | 11 | |
dc.subject.udc | 519.65 | |
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dc.identifier.citationen | Lupenko S., Butsiy R. (2024) Express method of biometric person authentication based on one cycle of the ecg signal. Scientific Journal of TNTU (Tern.), vol. 113, no 1, pp. 100-110. | |
dc.identifier.doi | https://doi.org/10.33108/visnyk_tntu2024.01.046 | |
dc.contributor.affiliation | Факультет електротехніки, автоматики та інформатики, Опольський Політехнічний Університет, Ополе, Польща | |
dc.contributor.affiliation | Інститут телекомунікацій і глобального інформаційного простору Національної академії наук України, Київ, Україна | |
dc.contributor.affiliation | Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland | |
dc.contributor.affiliation | Institute of Telecommunications and Global Information Space, National Academy of Sciences of Ukraine, Kyiv, Ukraine | |
dc.citation.journalTitle | Вісник Тернопільського національного технічного університету | |
dc.citation.volume | 113 | |
dc.citation.issue | 1 | |
dc.citation.spage | 100 | |
dc.citation.epage | 110 | |
Samling: | Вісник ТНТУ, 2024, № 1 (113) |
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