Design of wearable breathing sound monitoring system for real-time wheeze detection

SH Li, BS Lin, CH Tsai, CT Yang, BS Lin - Sensors, 2017 - mdpi.com
In the clinic, the wheezing sound is usually considered as an indicator symptom to reflect the
degree of airway obstruction. The auscultation approach is the most common way to …

Computerized respiratory sounds in patients with COPD: a systematic review

C Jacome, A Marques - COPD: Journal of Chronic Obstructive …, 2015 - Taylor & Francis
Computerized respiratory sound analysis provides objective information about the
respiratory system and may be useful to monitor patients with chronic obstructive pulmonary …

Computerized acoustical techniques for respiratory flow-sound analysis: a systematic review

PD Muthusamy, K Sundaraj, N Abd Manap - Artificial Intelligence Review, 2020 - Springer
Computerized respiratory sound analysis has recently captured the attention of researchers,
and its implementation can assist physicians in the diagnosis of pulmonary pathologies. The …

Nonlinear time series and principal component analyses: Potential diagnostic tools for COVID-19 auscultation

V Raj, A Renjini, MS Swapna, S Sreejyothi… - Chaos, Solitons & …, 2020 - Elsevier
The development of novel digital auscultation techniques has become highly significant in
the context of the outburst of the pandemic COVID 19. The present work reports the spectral …

Respiratory sound based classification of chronic obstructive pulmonary disease: a risk stratification approach in machine learning paradigm

NS Haider, BK Singh, R Periyasamy… - Journal of medical …, 2019 - Springer
This article investigates the classification of normal and COPD subjects on the basis of
respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy …

Computerised analysis of telemonitored respiratory sounds for predicting acute exacerbations of COPD

MA Fernandez-Granero, D Sanchez-Morillo… - Sensors, 2015 - mdpi.com
Chronic obstructive pulmonary disease (COPD) is one of the commonest causes of death in
the world and poses a substantial burden on healthcare systems and patients' quality of life …

[PDF][PDF] Classification of optical coherence tomography using convolutional neural networks

AA Saraiva, DBS Santos, PMC Pimentel… - …, 2020 - repositorio.usp.br
This article describes a classification model of optical coherence tomography images using
convolution neural network. The dataset used was the Labeled Optical Coherence …

Respiratory disease classification by CNN using MFCC

K Mridha, S Sarkar, D Kumar - 2021 IEEE 6th International …, 2021 - ieeexplore.ieee.org
Respiratory disease is a sort of sickness that produces a high death rate in rural or urban
settings. Respiratory illnesses must be detected in advance and the rapid growth of deep …

Lung auscultation using the smartphone—feasibility study in real-world clinical practice

H Ferreira-Cardoso, C Jácome, S Silva, A Amorim… - Sensors, 2021 - mdpi.com
Conventional lung auscultation is essential in the management of respiratory diseases.
However, detecting adventitious sounds outside medical facilities remains challenging. We …

Feature extraction for machine learning based crackle detection in lung sounds from a health survey

M Grønnesby, JCA Solis, E Holsbø, H Melbye… - arXiv preprint arXiv …, 2017 - arxiv.org
In recent years, many innovative solutions for recording and viewing sounds from a
stethoscope have become available. However, to fully utilize such devices, there is a need …