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Multi-point accelerometric detection and principal component analysis of heart sounds.
MedLine Citation:
PMID:  23400007     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Heart sounds are a fundamental physiological variable that provide a unique insight into cardiac semiotics. However a deterministic and unambiguous association between noises in cardiac dynamics is far from being accomplished yet due to many and different overlapping events which contribute to the acoustic emission. The current computer-based capacities in terms of signal detection and processing allow one to move from the standard cardiac auscultation, even in its improved forms like electronic stethoscopes or hi-tech phonocardiography, to the extraction of information on the cardiac activity previously unexplored. In this report, we present a new equipment for the detection of heart sounds, based on a set of accelerometric sensors placed in contact with the chest skin on the precordial area, and are able to measure simultaneously the vibration induced on the chest surface by the heart's mechanical activity. By utilizing advanced algorithms for the data treatment, such as wavelet decomposition and principal component analysis, we are able to condense the spatially extended acoustic information and to provide a synthetical representation of the heart activity. We applied our approach to 30 adults, mixed per gender, age and healthiness, and correlated our results with standard echocardiographic examinations. We obtained a 93% concordance rate with echocardiography between healthy and unhealthy hearts, including minor abnormalities such as mitral valve prolapse.
Authors:
S De Panfilis; C Moroni; M Peccianti; O M Chiru; V Vashkevich; G Parisi; R Cassone
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-2-12
Journal Detail:
Title:  Physiological measurement     Volume:  34     ISSN:  1361-6579     ISO Abbreviation:  Physiol Meas     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-2-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  -    
Other Details:
Languages:  ENG     Pagination:  L1-L9     Citation Subset:  -    
Affiliation:
Centro Studi e Ricerche e Museo Storico della Fisica 'E. Fermi', P.le del Viminale 1, Roma I-00184, Italy. Centre for Life Nano Science IIT@Sapienza, Istituto Italiano di Tecnologia, V.le Regina Elena 291, Roma I-00161, Italy.
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