NDLI: Automated clustering of independent components for discontinuous sounds thoracic imaging

Content Provider	IEEE Xplore Digital Library
Author	Charleston-Villalobos, S. Castaneda-Villa, N. Gonzalez-Camarena, R. Mejia-Avila, M. Aljama-Corrales, T.
Copyright Year	2015
Description	Author affiliation: Health Sci. Dept., Univ. Autonoma Metropolitana, Mexico City, Mexico (Gonzalez-Camarena, R.) \|\| Electr. Eng. Dept., Univ. Autonoma Metropolitana, Mexico City, Mexico (Charleston-Villalobos, S.; Castaneda-Villa, N.; Aljama-Corrales, T.) \|\| Nat. Inst. of Respiratory Diseases at Mexico City, Mexico City, Mexico (Mejia-Avila, M.)
Abstract	Discontinuous lung sounds (DLS), also known as crackles, are abnormal sounds produced by different pulmonary pathologies (PP) whose thoracic spatial distribution and prevalence are relevant for diagnosis purpose. Recently, DLS imaging has been proposed to help diagnose and follow-up PP where automated recognition of DLS is meaningful. The present study focuses on the automated selection of independent components (ICs) associated with DLS. Extraction of ICs information for clustering by k-means is achieved in two ways: (1) forming features vectors (FVs) containing the kurtosis, entropy and sparsity of each IC or (2) by applying mutual information (MI) or Euclidean distance (ED) to all ICs. Next, silhouette index is computed to estimate the number of necessary clusters (C). Afterward, to detect just the clusters containing ICs of DLS a selection index is proposed. Finally, to estimate the number of DLS per ICs in each selected cluster a time-variant AR modeling is applied; the estimated number is shown in conjunction with the 2D-ICs spatial distribution. The methodology is applied to simulated and real cases; DLS imaging results are also compared against clinical auscultation. The results showed that the automated selection via FVs is promising to imaging DLS.
Starting Page	4126
Ending Page	4129
File Size	1577188
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319302
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Indexes Imaging Graphical models Distribution functions Integrated circuits Lungs Entropy
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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