Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes

M Bahoura - Computers in biology and medicine, 2009 - Elsevier
sound have been developed over the past two decades. … CORSA (Computerized Respiratory
Sound Analysis) guidelines, … obtained from both healthy and asthmatic subjects. There are …

[PDF][PDF] Toolkit for lung sound analysis

T Rosqvist, E Paajanen, K Kallio, HM Rajala… - Medical and Biological …, 1995 - academia.edu
… For correct classification, the darkest area in the classification map should be at the same …
On the other hand, in asthmatic patient measurements, weattach one of the microphones at …

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds

M Kilic, PD Barua, T Keles, AM Yildiz, I Tuncer… - … Applications of Artificial …, 2024 - Elsevier
… attained excellent binary classification performance for detecting asthma versus control. …
We analyzed the number of features at multiple levels (from the clean cough sound signal input …

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
… , for the two-class classification of input cough sound segments into asthma versus non-…
In this context, when state-of-the-art methods are analyzed, the automatic asthma detection …

Classification of asthma disease using thoracic data

M In-Seob - Malsori, 2004 - koreascience.kr
… of classification normal from abnormal – normal, asthma through analysis of thoracic sound
to take use thoracic sound … Thoracic sound detection system has a function to store thoracic …

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
sound phenomena: wheezes and rhonchi) as a key asthma … approach to acoustic data
analysis that may essentially help … Comparing directly classification results of our proposed …

[PDF][PDF] AsthmaSCELNet: A lightweight supervised contrastive embedding learning framework for asthma classification using lung sounds

A Roy, U Satija - entropy, 2023 - researchgate.net
… , where, it takes nearly 3.62 sec to classify an entire lung sound signal at the inference time.
… on asthma classification. Table 4 shows the comparative results for the asthma classification …

[HTML][HTML] Computer-Aided Detection of Respiratory Sounds in Bronchial Asthma Patients Based on Machine Learning Method

A Gelman, EG Furman, NM Kalinina… - Современные …, 2022 - cyberleninka.ru
… As the problem solution, we mean a binary classification "asthma/healthy"; the algorithm …
Asthmatic airways obstruction assessment based on detailed analysis of respiratory sound

Machine learning in lung sound analysis: a systematic review

R Palaniappan, K Sundaraj, NU Ahamed - Biocybernetics and Biomedical …, 2013 - Elsevier
… -based lung sound analysis. Articles on computer-based lung sound analysis using machine
… , the signal processing and classification methods and the outcome of the analyses of lung …

Lung sound analysis for wheeze episode detection

A Jain, J Vepa - 2008 30th Annual International Conference of …, 2008 - ieeexplore.ieee.org
… and classification of wheeze episodes from the lung sound … the previous techniques for
lung sound analysis. Section ІІІ … airways obstruction in children with asthma. Thorax 1995; 50:…