Classification of arteriovenous fistula sounds using a convolutional block attention module and long short-term memory neural network
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DOI: 10.3389/fphys.2024.1397317
Abstract: The assessment of vascular accessibility in patients undergoing hemodialysis is predominantly reliant on manual inspection, a method that is associated with several limitations. In this study, we propose an alternative approach by recording the acoustic… read more here.
Keywords: block attention; attention module; long short; convolutional block ... See more keywords