An automated system for classification of chronic obstructive pulmonary disease and pneumonia patients using lung sound analysis

SZH Naqvi, MA Choudhry - Sensors, 2020 - mdpi.com
Chronic obstructive pulmonary disease (COPD) and pneumonia are two of the few fatal lung
diseases which share common adventitious lung sounds. Diagnosing the disease from lung …

Explainable attention ResNet18-based model for asthma detection using stethoscope lung sounds

I Topaloglu, PD Barua, AM Yildiz, T Keles… - … Applications of Artificial …, 2023 - Elsevier
This study proposes an accurate asthma detection model using an attention network and
machine learning technique. The objective of this study is the automated detection of asthma …

Analysis of acoustic features for speech sound based classification of asthmatic and healthy subjects

S Yadav, M Keerthana, D Gope… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Non-speech sounds (cough, wheeze) are typically known to perform better than speech
sounds for asthmatic and healthy subject classification. In this work, we use sustained …

Computer-aided diagnosis system for chronic obstructive pulmonary disease using empirical wavelet transform on auscultation sounds

A Gökçen - The Computer Journal, 2021 - academic.oup.com
In this study, it is aimed to develop computer-aided a diagnosis system for Chronic
Obstructive Pulmonary Disease (COPD) which is a completely incurable and chronic …

An Accelerometer-Based Wearable Patch for Robust Respiratory Rate and Wheeze Detection Using Deep Learning

B Sang, H Wen, G Junek, W Neveu, L Di Francesco… - Biosensors, 2024 - mdpi.com
Wheezing is a critical indicator of various respiratory conditions, including asthma and
chronic obstructive pulmonary disease (COPD). Current diagnosis relies on subjective lung …

Intelligent system for classification of pulmonary diseases from lung sound

SZH Naqvi, MA Choudhry, AZ Khan… - … Computer Science and …, 2019 - ieeexplore.ieee.org
Lung disease belongs to the class of fatal disease according to World Health Organization
statistics. Asthma and bronchitis are most prominent among these abnormalities …

Robust respiratory disease classification using breathing sounds (RRDCBS) multiple features and models

A Revathi, N Sasikaladevi, D Arunprasanth… - Neural Computing and …, 2022 - Springer
Classification of respiratory diseases using X-ray and CT scan images of lungs is currently
practised and used by many medical practitioners for clinical diagnosis. Respiratory disease …

Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough …

PD Barua, T Keles, M Kuluozturk, MA Kobat… - Neural Computing and …, 2024 - Springer
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 …

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 …

Multichannel lung sound analysis to detect severity of lung disease in cystic fibrosis

A Karimizadeh, M Vali, M Modaresi - Biomedical Signal Processing and …, 2021 - Elsevier
Abstract Objective Respiratory disease in Cystic fibrosis (CF) patients is one of the main
causes of the reduction in pulmonary function and death. The primary goals of CF treatment …