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Preliminary results on quantification of Seismocardiogram morphological changes, using principal component analysis.

EMBC(2014)

Cited 3|Views13
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Abstract
A methodology, based on principal component analysis, is proposed to quantify beat to beat Seismocardiogram changes. The proposed method was tested over a population of 94 subjects including 35 ischemic heart disease patients. The results showed that there was an insignificant overlap between the diseased and the healthy populations in the number of principal components (NPC) and that further development of this method might yield a classification index for myocardial abnormalities. In addition such an index has potential utility in patient monitoring.
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Key words
diseases,beat to beat seismocardiogram changes,vibrations,classification index,patient monitoring,medical signal processing,npc,cardiovascular system,diseased populations,signal classification,healthy populations,accelerometers,ischemic heart disease patients,seismocardiogram quantification,myocardial abnormalities,principal component analysis,patient diagnosis,morphological changes
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