Resilient embedded system for classification respiratory diseases in a real time

Author:

Mahmood Ahlam Fadhil,Alkababji Ahmed Maamoon,Daood AmarORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference49 articles.

1. Abnormal Respiratory Sounds Classification Using Deep CNN Through Artificial Noise Addition;Zulfiqar;Front. Med.,2021

2. Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning;Kim;Sci. Rep.,2021

3. R. X. Pramono, S. Bowyer, E. Rodriguez-Villegas, “Automatic adventitious respiratory sound analysis: A systematic review”, PLoS ONE 12(5): e0177926, 43Pages, (2017). 10.1371/journal.pone.0177926.

4. Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function;Petmezas;Sensors,2022

5. P. S. Faustino, “Crackle and wheeze detection in lung sound signals using convolutional neural networks”, MSc. Thesis, Engenharia de Redes e Sistemas Informáticos Departamento de Ciência de Computadoresh, (2019). https://repositorio-aberto.up. pt.

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