Publication detail
DeepRespNet: A deep neural network for classification of respiratory sounds
GUPTA, R. SINGH, R. TRAVIESO-GONZÁLEZ, C. BURGET, R. DUTTA, M.
Original Title
DeepRespNet: A deep neural network for classification of respiratory sounds
Type
journal article in Web of Science
Language
English
Original Abstract
Respiratory sounds convey significant information about the pulmonary status. This study proposes a deep learning-based framework to create an automatic, non-invasive, diagnostic method of categorizing pulmonary sounds. A labelled database of pulmonary sounds has been collected using an electronic stethoscope and audio recording instrument. Two deep learning architectures, 1D DeepRespNet and 2D DeepRespNet are proposed in this work that were trained and evaluated with normalised 1-D time series and 2-D spectrograms of acoustic signals of six types of lung sounds, respectively. The models were highly optimized to yield superior performance on the considered dataset. Experimental results demonstrate that the 2D DeepRespNet model trained with spectrogram-based representations yields higher accuracy of 95.2% on the test data as compared to the 1D DeepRespNet trained on the time-series data. The proposed model may be deployed on a single board computer or integrated into a smartphone to develop a standalone diagnostic tool to accurately and objectively classify abnormal lung sounds with low time complexity.
Keywords
Convolutional neural network; Respiratory disease; Multi-class classification;Spectrogram
Authors
GUPTA, R.; SINGH, R.; TRAVIESO-GONZÁLEZ, C.; BURGET, R.; DUTTA, M.
Released
8. 3. 2024
Publisher
ELSEVIER SCI LTD
Location
OXFORD
ISBN
1746-8108
Periodical
Biomedical Signal Processing and Control
Year of study
93
Number
July 2024
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1
Pages to
11
Pages count
11
URL
BibTex
@article{BUT188258,
author="Rinki {Gupta} and Rashmi {Singh} and Carlos M. {Travieso-González} and Radim {Burget} and Malay Kishore {Dutta}",
title="DeepRespNet: A deep neural network for classification of respiratory sounds",
journal="Biomedical Signal Processing and Control",
year="2024",
volume="93",
number="July 2024",
pages="1--11",
doi="10.1016/j.bspc.2024.106191",
issn="1746-8108",
url="https://www.sciencedirect.com/science/article/pii/S1746809424002490?via%3Dihub"
}