Cargando…
Accumulated bispectral image-based respiratory sound signal classification using deep learning
The COVID-19 virus is increasingly crucial to human health since new variants appear frequently. Detection of COVID-19 through respiratory sound has been an important area of research. This study analyzes respiratory sounds using novel accumulated bi-spectral features. The principal domain bispectru...
Autores principales: | Sangle, Sandeep B., Gaikwad, Chandrakant J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161180/ https://www.ncbi.nlm.nih.gov/pubmed/37362234 http://dx.doi.org/10.1007/s11760-023-02589-w |
Ejemplares similares
-
Heartbeat Sound Signal Classification Using Deep Learning
por: Raza, Ali, et al.
Publicado: (2019) -
Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning
por: Kim, Yoonjoo, et al.
Publicado: (2021) -
The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach
por: Bao, Xinqi, et al.
Publicado: (2022) -
Sound Source Distance Estimation Using Deep Learning: An Image Classification Approach
por: Yiwere, Mariam, et al.
Publicado: (2019) -
Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds
por: Balamurali, B T, et al.
Publicado: (2021)