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An effective AI model for automatically detecting arteriovenous fistula stenosis
In this study, a novel artificial intelligence (AI) model is proposed to detect stenosis in arteriovenous fistulas (AVFs) using inexpensive and non-invasive audio recordings. The proposed model is a combination of two new input features based on short-time Fourier transform (STFT) and sample entropy...
Autores principales: | Song, Wheyming Tina, Chen, Chang Chiang, Yu, Zi-Wei, Huang, Hao-Chuan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582155/ https://www.ncbi.nlm.nih.gov/pubmed/37848465 http://dx.doi.org/10.1038/s41598-023-35444-6 |
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