Title
Multichannel lung sound analysis for asthma detection.
Abstract
•Lung sound is acquired using a novel 4-channel data acquisition system.•Asthma is detected using posterior lung sound signal, even in absence of wheeze.•A novel subband-based feature extraction technique is proposed.•The proposed method outperforms commonly used feature extraction methods.•Channel combinations are studied to reveal their attributes in asthma detection.
Year
DOI
Venue
2018
10.1016/j.cmpb.2018.03.002
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
Artificial neural network (ANN),Asthma,Lung sound analysis,Power spectral density (PSD),Statistical features,Support vector machine (SVM)
Signal processing,Computer vision,Pattern recognition,Computer science,Support vector machine,Data acquisition,Feature extraction,Spectral density,Wheeze,Artificial intelligence,Artificial neural network,Auscultation
Journal
Volume
ISSN
Citations 
159
0169-2607
2
PageRank 
References 
Authors
0.38
12
4
Name
Order
Citations
PageRank
Md. Ariful Islam1225.55
Irin Bandyopadhyaya220.38
Parthasarathi Bhattacharyya320.72
Goutam Saha425523.17