An automated system towards diagnosis of pneumonia using pulmonary auscultations
Respiratory sounds carry significant information about the condition of respiratory system.
Respiratory sounds are often affected by sounds emanating from heart and other organs …
Respiratory sounds are often affected by sounds emanating from heart and other organs …
Development of machine learning for asthmatic and healthy voluntary cough sounds: a proof of concept study
HI Hee, BT Balamurali, A Karunakaran, D Herremans… - Applied Sciences, 2019 - mdpi.com
(1) Background: Cough is a major presentation in childhood asthma. Here, we aim to
develop a machine-learning based cough sound classifier for asthmatic and healthy …
develop a machine-learning based cough sound classifier for asthmatic and healthy …
DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis
Problem Cough-based disease detection is a hot research topic for machine learning, and
much research has been published on the automatic detection of Covid-19. However, these …
much research has been published on the automatic detection of Covid-19. However, these …
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
Asthmatic patients suffer episodic attacks of breathing difficulty and cough. Cough sounds
may be used to distinguish asthma from other lung conditions or normal, especially in the …
may be used to distinguish asthma from other lung conditions or normal, especially in the …
Pre-processing and classification of cough sounds in noisy environment using SVM
This paper presents a methodology for automated analysis of cough sound signals using
Support Vector Machines (SVM). Pre-Processing is necessary for suppression of noise from …
Support Vector Machines (SVM). Pre-Processing is necessary for suppression of noise from …
Audio feature ranking for sound-based COVID-19 patient detection
JA Meister, KA Nguyen, Z Luo - EPIA Conference on Artificial Intelligence, 2022 - Springer
Audio classification using breath and cough samples has recently emerged as a low-cost,
non-invasive, and accessible COVID-19 screening method. However, a comprehensive …
non-invasive, and accessible COVID-19 screening method. However, a comprehensive …
Hierarchical multi-modal transformer for automatic detection of COVID-19
Automated COVID-19 detection based on analysis of cough recordings has been an
important field of study, as efficient and accurate methods are necessary to contain the …
important field of study, as efficient and accurate methods are necessary to contain the …
[HTML][HTML] A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification
Abstract Background and Objective: Cough audio signal classification is a potentially useful
tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect …
tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect …
Classification of cough sounds using spectrogram methods and a parallel-stream one-dimensional deep convolutional neural network
Currently, a subjective method is used to diagnose cough sounds, particularly wet and dry
coughs, which can lead to incorrect diagnoses. In this study, novel emergent features were …
coughs, which can lead to incorrect diagnoses. In this study, novel emergent features were …
Cough audio analysis for COVID-19 diagnosis
Humanity has suffered catastrophically due to the COVID-19 pandemic. One of the most
reliable diagnoses of COVID-19 is RT-PCR (reverse-transcription polymer chain reaction) …
reliable diagnoses of COVID-19 is RT-PCR (reverse-transcription polymer chain reaction) …