Spectral features and optimal Hierarchical attention networks for pulmonary abnormality detection from the respiratory sound signals

Author:

Dar Jawad Ahmad,Srivastava Kamal Kr.,Lone Sajaad Ahmed

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference32 articles.

1. An open access database for the evaluation of respiratory sound classification algorithms;Rocha;Physiol. Meas.,2019

2. Multi-time-scale features for accurate respiratory sound classification;Monaco;Appl. Sci.,2020

3. Detection of Respiratory Sounds Based on Wavelet Coefficients and Machine Learning;Meng;IEEE Access,2020

4. Deep neural network for respiratory sound classification in wearable devices enabled by patient specific model tuning;Acharyay;IEEE Trans. Biomed. Circuits Syst.,2020

5. Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Taufiq Hasan, and Mohammed Imamul Hassan Bhuiyan, “A lightweight CNN model for detecting respiratory diseases from lung auscultation sounds using emd-cwt-based hybrid scalogram”, IEEE Journal of Biomedical and Health Informatics, 2020.

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