Classification and Diagnosis of Heart Sounds and Murmurs Using Artificial Neural Networks

Martínez‐Alajarín, J.; López-Candel, José; Ruiz‐Merino, Ramón

doi:10.1007/978-3-540-73053-8_30

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…In [1], the authors used instantaneous energy and frequency estimations to identify six heart beat categories: 1) normal first (sl) and second heart sound (s2), 2) mitral regurgitation with third heart sound, 3) widely splitting of s2, 4) mitral stenosis, 5) mitral stenosis -mitral regurgitation, 6) fourth heart sound (s4) gallop. In [2], a heart sound identifier based on neural network was developed. The authors studied the identification of the three heat beat categories: 1) normal, 2) with holosystolic murmur, 3) with midsystolic murmur.…”

Section: Introductionmentioning

confidence: 99%

Unsupervised classification of heart sound recordings

Tsai

2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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An unsupervised framework for classifying heart sound data is proposed in this paper. Our goal is to cluster unknown heart sound recordings, such that each cluster contains sound recordings belonging to the same heart diseases or normal heart beat category. This framework is more flexible than the existing supervised classification of heart sounds by the case when heart sound data belong to undefined categories or when there is no prior template data for building a heart sound classifier. To this end, methods are proposed for heart sound feature extraction, similarity computation, cluster generation, and estimation of the optimal number of clusters. Our experiments show that the resulting clusters based on our system are roughly consistent with the heart beat categories defined by human labeling.

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Section: Introductionmentioning

confidence: 99%

Unsupervised classification of heart sound recordings

Tsai

2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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“…Before the invention of the stethoscope in 1819 by Laennec, physicians performed auscultation with the placement of their ears directly on patient's chests or abdomens (Auscultation, 2008). From 1819 to the present, sounds within the body continue to be measured using a stethoscope to examine the cardiovascular (Martinez-Alajarin, Lopez-Candel, & Ruiz-Merino, 2007), respiratory (Leuppi, et al, 2005), and gastrointestinal systems (Bray, Reilly, Haskin, & McCormack, 1997). Traditionally, stethoscopes have been used as a preliminary assessment instrument (Kaelin, 2001) to screen patients for disease, after which patients may be referred for more accurate methods such as spirometry, X-Rays, blood pressure cuffs, etc.…”

Section: Overviewmentioning

confidence: 99%

Monitoring the propagation of lung sounds using electronic stethoscope arrays

Mulligan¹,

Eng²

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