Deep learning-based lung sound analysis for intelligent stethoscope
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …
A lightweight CNN model for detecting respiratory diseases from lung auscultation sounds using EMD-CWT-based hybrid scalogram
Listening to lung sounds through auscultation is vital in examining the respiratory system for
abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the …
abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the …
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease
A Srivastava, S Jain, R Miranda, S Patil… - PeerJ Computer …, 2021 - peerj.com
In recent times, technologies such as machine learning and deep learning have played a
vital role in providing assistive solutions to a medical domain's challenges. They also …
vital role in providing assistive solutions to a medical domain's challenges. They also …
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …
tremendous growth in the medical field. Medical images are considered as the actual origin …
Lung sound classification using co-tuning and stochastic normalization
T Nguyen, F Pernkopf - IEEE Transactions on Biomedical …, 2022 - ieeexplore.ieee.org
Computational methods for lung sound analysis are beneficial for computer-aided diagnosis
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …
support, storage and monitoring in critical care. In this paper, we use pre-trained ResNet …
Artificial intelligence based techniques in respiratory healthcare services: a review
J Chawla, NK Walia - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
Death rate associated with respiratory diseases is a global concern. The various challenges
incorporated in respiratory health management are due to delayed and inaccurate …
incorporated in respiratory health management are due to delayed and inaccurate …
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database …
FS Hsu, SR Huang, CW Huang, CJ Huang… - PLoS …, 2021 - journals.plos.org
A reliable, remote, and continuous real-time respiratory sound monitor with automated
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …
respiratory sound analysis ability is urgently required in many clinical scenarios—such as in …
Accurate respiratory sound classification model based on piccolo pattern
Auscultation, or listening to body sounds with a stethoscope, is the most basic and
instructive part of the physical examination. Although it is a quick and effective way of …
instructive part of the physical examination. Although it is a quick and effective way of …
Covid-19 detection from respiratory sounds with hierarchical spectrogram transformers
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves
respiratory assessments. While auscultation is a mainstream method for preliminary …
respiratory assessments. While auscultation is a mainstream method for preliminary …
An ensemble of deep learning frameworks for predicting respiratory anomalies
This paper evaluates a range of deep learning frameworks for detecting respiratory
anomalies from input audio. Audio recordings of respiratory cycles collected from patients …
anomalies from input audio. Audio recordings of respiratory cycles collected from patients …