Classification of pulmonary pathology from breath sounds using the wavelet packet transform and an extreme learning machine

R Palaniappan, K Sundaraj, S Sundaraj… - Biomedical …, 2018 - degruyter.com
Background: Auscultation is a medical procedure used for the initial diagnosis and
assessment of lung and heart diseases. From this perspective, we propose assessing the …

[PDF][PDF] ELM and K-nn machine learning in classification of Breath sounds signals

Z Neili, M Fezari, A Redjati - Int J Electr Comput Eng, 2020 - academia.edu
The acquisition of Breath sounds (BS) signals from a human respiratory system with an
electronic stethoscope, provide and offer prominent information which helps the doctors to …

Detection of lungs status using morphological complexities of respiratory sounds

A Mondal, P Bhattacharya… - The scientific world journal, 2014 - Wiley Online Library
Traditionally, the clinical diagnosis of a respiratory disease is made from a careful clinical
examination including chest auscultation. Objective analysis and automatic interpretation of …

Lung sound classification using wavelet transform and entropy to detect lung abnormality

A Rizal, A Puspitasari - Serbian Journal of Electrical Engineering, 2022 - doiserbia.nb.rs
Lung sounds provide essential information about the health of the lungs and respiratory
tract. They have unique and distinguishable patterns associated with the abnormalities in …

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 …

Detection of respiratory sounds based on wavelet coefficients and machine learning

F Meng, Y Shi, N Wang, M Cai, Z Luo - IEEE Access, 2020 - ieeexplore.ieee.org
Respiratory sounds reveal important information of the lungs of patients. However, the
analysis of lung sounds depends significantly on the medical skills and diagnostic …

Acquisition and classification of lung sounds for improving the efficacy of auscultation diagnosis of pulmonary diseases

B Abera Tessema, HD Nemomssa… - Medical Devices …, 2022 - Taylor & Francis
Purpose Lung diseases are the third leading cause of death worldwide. Stethoscope-based
auscultation is the most commonly used, non-invasive, inexpensive, and primary diagnostic …

Classification of lung sounds using higher-order statistics: A divide-and-conquer approach

R Naves, BHG Barbosa, DD Ferreira - Computer methods and programs in …, 2016 - Elsevier
Background and objective Lung sound auscultation is one of the most commonly used
methods to evaluate respiratory diseases. However, the effectiveness of this method …

Methodology for automatic classification of adventitious lung sounds

RJ Riella, P Nohama, JM Maia - World Congress on Medical Physics and …, 2009 - Springer
This paper describes the development of a methodology for adventitious lung sounds
classification using discrete wavelet transform (DWT) and a classifier based in a radial basis …

Hessenberg Elm autoencoder kernel for deep learning

G Altan, Y Kutlu - Journal of Engineering Technology and Applied …, 2018 - dergipark.org.tr
Deep Learning (DL) is an effective way that reveals on computation capability and
advantage of the hidden layer in the network models. It has pre-training phases which define …