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Fig. 1 | BMC Veterinary Research

Fig. 1

From: Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings

Fig. 1

Overview of deep learning-based analysis for mitral regurgitation severity in myxomatous mitral valve disease patients. This figure describes a systematic approach for collecting, preprocessing, and analyzing PCG data from dogs with MMVD to classify MR severity of mitral regurgitation. Data were acquired using a digital stethoscope and preprocessed, visualized, and analyzed using deep learning models. CNN, convolutional neural network; Fbank, filter bank; MMVD, myxomatous mitral valve disease; PaSST, patch-mix audio spectrogram transformer; PCG, phonocardiogram; ResNet, residual neural network

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BMC Veterinary Research

ISSN: 1746-6148

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