Linked Life Data

17946201

Source:http://linkedlifedata.com/resource/pubmed/id/17946201

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-10-23
pubmed:abstractText
A methodology is proposed to segment and label the fundamental activities, namely the first and second heart sounds, S1 and S2of the phonocardiogram (PCG). Information supplementary to the PCG, such as a cue from a synchronously acquired electrocardiogram (ECG), subject-specific prior information, or training examples regarding the activities, is not required by the proposed methodology. A bank of Morlet wavelet correlators is used to obtain a time-scale representation of the PCG. An energy profile of the time-scale representation and a singular value decomposition (SVD) technique are used to identify segments of the PCG that contain the fundamental activities. The robustness of the methodology is demonstrated by the correct segmentation of over 90% of 1068 fundamental activities in a challenging set of PCGs which were recorded from patients with normally functioning and abnormally functioning bioprosthetic valves. The PCGs included highly varying fundamental activities that overlapped in time and frequency with other aberrant non-fundamental activities such as murmurs and noise-like artifacts.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3732-5
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Unsupervised and uncued segmentation of the fundamental heart sounds in phonocardiograms using a time-scale representation.
pubmed:affiliation
DRDC, Ottawa, Ont. sreeraman.rajan@drdc-rddc.gc.ca
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't