An MFCC Features-driven subject-independent Convolution Neural Network for Detection of Chronic and Non-chronic Pulmonary Diseases

Author:

Dhavala Aditya1,Ahmed Asif1,Periyasamy R1,Joshi Deepak2

Affiliation:

1. National Institute of Technology, Trichy,Department of Instrumentation and Control Engineering,Tiruchirappalli,Tamilnadu,India

2. Indian Institute of Technology, Delhi,Centre for Biomedical Engineering,Delhi,India

Publisher

IEEE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance evaluation of lung sounds classification using deep learning under variable parameters;EURASIP Journal on Advances in Signal Processing;2024-04-15

2. Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations;Cognitive Computation;2023-12-28

3. A Teacher-Student Framework For Training Audio Spectrogram Transformer To Classify Lung Diseases Using Respiratory Sounds;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15

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