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Three neural network architectures were proposed: the first based on the convolutional network, the second on SincNet, and the third on the convolutional network, but with additional entropy-based features. The dataset was divided into training, validation, and test sets in proportions of 70%, 15%, and 15%, respectively. The studies were conducted for 2, 5, and 20 classes of disease entities. The convolutional network with entropy features obtained the best classification result. The convolutional network without entropy-based features obtained a slightly less successful result, but had the highest computational efficiency, due to the significantly lower number of neurons.<\/jats:p>","DOI":"10.3390\/e23091121","type":"journal-article","created":{"date-parts":[[2021,8,29]],"date-time":"2021-08-29T21:45:16Z","timestamp":1630273516000},"page":"1121","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":132,"title":["ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2459-5494","authenticated-orcid":false,"given":"Sandra","family":"\u015amigiel","sequence":"first","affiliation":[{"name":"Faculty of Mechanical Engineering, UTP University of Science and Technology in Bydgoszcz, 85-796 Bydgoszcz, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3989-3400","authenticated-orcid":false,"given":"Krzysztof","family":"Pa\u0142czy\u0144ski","sequence":"additional","affiliation":[{"name":"Faculty of Telecommunications, Computer Science and Electrical Engineering, UTP University of Science and Technology in Bydgoszcz, 85-796 Bydgoszcz, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0796-4390","authenticated-orcid":false,"given":"Damian","family":"Ledzi\u0144ski","sequence":"additional","affiliation":[{"name":"Faculty of Telecommunications, Computer Science and Electrical Engineering, UTP University of Science and Technology in Bydgoszcz, 85-796 Bydgoszcz, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e67","DOI":"10.1161\/CIR.0000000000000558","article-title":"Heart disease and stroke statistics\u20142018 update: A report from the American Heart Association","volume":"137","author":"Benjamin","year":"2018","journal-title":"Circulation"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Gupta, D., Bajpai, B., Dhiman, G., Soni, M., Gomathi, S., and Mane, D. 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