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Unwrapping the phase portrait features of adventitious crackle for auscultation and classification: a machine learning approach
The paper delves into the plausibility of applying fractal, spectral, and nonlinear time series analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary crackle (PC) analysed by fast Fourier transform and wavelet not only give the details of number, nature, and t...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076880/ https://www.ncbi.nlm.nih.gov/pubmed/33905049 http://dx.doi.org/10.1007/s10867-021-09567-8 |