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...

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Detalles Bibliográficos
Autores principales: Sreejyothi, Sankararaman, Renjini, Ammini, Raj, Vimal, Swapna, Mohanachandran Nair Sindhu, Sankararaman, Sankaranarayana Iyer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Original Paper
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

Internet

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

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