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Cardiac functionality from cardiac acoustics
Guy Amit
 We
revisit the problem of quantitative analysis of mechanical vibro-acoustic
heart signals using modern signal processing tools. We study the relationship between acoustic indices,
extracted from the time-frequency energy distribution of S1, and reference
echocardiographic indices that are related to left-ventricular systolic
functionality. To achieve dynamic, yet controllable, hemodynamic conditions,
we used clinical settings of a routine echocardiography pharmacological
stress test. Work includes signal processing and feature extraction methods
applied to the vibro-acoustic heart signal, and introduction of novel
acoustic indices of systolic functionality.
We study the correlation between these indices and echocardiography-derived
measures. This
study may be applicable to continuous non-invasive monitoring of cardiac
systolic function.
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