Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features
Objective This study aimed to investigate and classify wheeze sounds of asthmatic patients
according to their severity level (mild, moderate and severe) using spectral integrated (SI) …
according to their severity level (mild, moderate and severe) using spectral integrated (SI) …
Identification of asthma severity levels through wheeze sound characterization and classification using integrated power features
Objective This study aimed to investigate and classify wheeze sound characteristics
according to asthma severity levels (mild, moderate and severe) using integrated power (IP) …
according to asthma severity levels (mild, moderate and severe) using integrated power (IP) …
Analysis of wheeze sounds during tidal breathing according to severity levels in asthma patients
Objective: This study aimed to statistically analyze the behavior of time-frequency features in
digital recordings of wheeze sounds obtained from patients with various levels of asthma …
digital recordings of wheeze sounds obtained from patients with various levels of asthma …
Evaluation of features for classification of wheezes and normal respiratory sounds
Chronic Respiratory Diseases (CRDs), such as Asthma and Chronic Obstructive Pulmonary
Disease (COPD), are leading causes of deaths worldwide. Although both Asthma and …
Disease (COPD), are leading causes of deaths worldwide. Although both Asthma and …
Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes
M Bahoura - Computers in biology and medicine, 2009 - Elsevier
In this paper, we present the pattern recognition methods proposed to classify respiratory
sounds into normal and wheeze classes. We evaluate and compare the feature extraction …
sounds into normal and wheeze classes. We evaluate and compare the feature extraction …
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 …
Multichannel lung sound analysis for asthma detection
MA Islam, I Bandyopadhyaya, P Bhattacharyya… - Computer methods and …, 2018 - Elsevier
Background and objective Lung sound signals convey valuable information of the lung
status. Auscultation is an effective technique to appreciate the condition of the respiratory …
status. Auscultation is an effective technique to appreciate the condition of the respiratory …
Development of automatic wheeze detection algorithm for children with asthma
HC Kuo, BS Lin, YD Wang, BS Lin - IEEE Access, 2021 - ieeexplore.ieee.org
Asthma is a symptom of tracheal obstruction caused by bronchospasm, and it is among the
most prevalent chronic obstructive pulmonary diseases. Auscultation is the most commonly …
most prevalent chronic obstructive pulmonary diseases. Auscultation is the most commonly …
Classification of asthma severity levels by wheeze sound analysis
Asthma is among the most common condition, and it has been reported that it is currently
poorly controlled. In this work, wheeze sound were analysed to classify different levels of …
poorly controlled. In this work, wheeze sound were analysed to classify different levels of …
Automatic wheezing detection using speech recognition technique
BS Lin, BS Lin - Journal of Medical and Biological Engineering, 2016 - Springer
This study developed a speech recognition technique to detect wheezing. Wheezes are
important in the diagnosis of pulmonary pathologies such as asthma. The acoustic features …
important in the diagnosis of pulmonary pathologies such as asthma. The acoustic features …