A review of classification techniques based on neural networks for pulmonary obstructive diseases
R Dubey, RM Bodade - Proceedings of Recent Advances in …, 2019 - papers.ssrn.com
The automatic analysis of respiratory sound is of enormous challenge. The success of the
Automatic Classification of pulmonary obstructive diseases can carry a radical change in the …
Automatic Classification of pulmonary obstructive diseases can carry a radical change in the …
Towards passive assessment of pulmonary function from natural speech recorded using a mobile phone
Chronic obstructive pulmonary disease (COPD) and asthma are the most common
respiratory diseases that impact millions of people worldwide annually. With advances in …
respiratory diseases that impact millions of people worldwide annually. With advances in …
Artificial intelligence approach to the monitoring of respiratory sounds in asthmatic patients
H Hafke-Dys, B Kuźnar-Kamińska, T Grzywalski… - Frontiers in …, 2021 - frontiersin.org
Background: Effective and reliable monitoring of asthma at home is a relevant factor that
may reduce the need to consult a doctor in person. Aim: We analyzed the possibility to …
may reduce the need to consult a doctor in person. Aim: We analyzed the possibility to …
An ambient denoising method based on multi-channel non-negative matrix factorization for wheezing detection
AJ Muñoz-Montoro, P Revuelta-Sanz… - The Journal of …, 2023 - Springer
In this paper, a parallel computing method is proposed to perform the background denoising
and wheezing detection from a multi-channel recording captured during the auscultation …
and wheezing detection from a multi-channel recording captured during the auscultation …
Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough …
Asthma is a common disease. The clinical diagnosis is usually confirmed on a pulmonary
function test, which is not always readily accessible. We aimed to develop a computationally …
function test, which is not always readily accessible. We aimed to develop a computationally …
A novel wheezing detection approach based on constrained non-negative matrix factorization
The early wheezing detection is still a challenging task in biomedical signal processing
because the presence of wheeze sounds often indicate respiratory diseases from airway …
because the presence of wheeze sounds often indicate respiratory diseases from airway …
A constrained tonal semi-supervised non-negative matrix factorization to classify presence/absence of wheezing in respiratory sounds
From a clinical point of view, the detection of wheezing presence in respiratory sounds is a
challenging task for early identification of pulmonary diseases since wheezing is the main …
challenging task for early identification of pulmonary diseases since wheezing is the main …
Wheezing sound separation based on informed inter-segment non-negative matrix partial co-factorization
J De La Torre Cruz, FJ Canadas Quesada… - Sensors, 2020 - mdpi.com
Wheezing reveals important cues that can be useful in alerting about respiratory disorders,
such as Chronic Obstructive Pulmonary Disease. Early detection of wheezing through …
such as Chronic Obstructive Pulmonary Disease. Early detection of wheezing through …
[PDF][PDF] Active Learning for Abnormal Lung Sound Data Curation and Detection in Asthma
Existing audio-based asthma monitoring solutions rely on feature engineering designs
paired with contact-based auscultation which are brittle in practice and do not scale beyond …
paired with contact-based auscultation which are brittle in practice and do not scale beyond …
Combining a recursive approach via non-negative matrix factorization and Gini index sparsity to improve reliable detection of wheezing sounds
Auscultation constitutes a fast, non-invasive and low-cost tool widely used to diagnose
respiratory diseases in most of the health centres. However, the acoustic training and …
respiratory diseases in most of the health centres. However, the acoustic training and …