DOI: 10.22184/1992-4178.2025.242.1.136.142

The article considers the use of neural networks for recognizing cardiac signals obtained from a phonendoscope. Information is provided on the main stages of implementing the neural network
training procedures and making decisions during subsequent classification. The results of processing cardiac signals using statistical analysis and machine learning methods are presented.

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Разработка: студия Green Art