Methods, systems, and computer program products for analyzing cardiovascular sounds using eigen functions

A non-invasive system for detecting arterial disease in vivo, comprising:

• one or more acoustic signal sensors configured for positioning on an external body region proximate at least one artery for obtaining acoustic signals;
• a complex frequency data point generator module configured to generate a complex frequency grid of frequencies and associated lifetimes using the obtained acoustic signals;
• a peak-perturbation module in communication with the complex frequency data point generator comprising a predictive model of complex frequencies associated with peak-perturbation acoustic signals attributed to boundary perturbations in vivo that occur with early stage arterial disease;
• a line-perturbation module in communication with the complex frequency data point generator comprising a predictive model of complex frequencies associated with line-perturbation acoustic signals attributed to boundary perturbations in vivo that occur with later stage arterial disease and/or acoustic signals attributed to junction perturbations where arteries split in vivo;
• and
• the peak-perturbation module and the line-perturbation module being configured for determining whether peak and/or line-perturbation acoustic signals of the predictive models are present to detect whether the subject has arterial disease, wherein the arterial disease is selected from the group consisting of plaque, deposits, stenosis, occluded, obstructed blood flow, arterial hardening, arterial wall thickness perturbations, thickening of arterial junctions, emboli, blood clots, aneurysms and combination thereof.

A computer program product for detecting arterial disease in vivo, the computer program product comprising program code embodied in a computer-readable storage medium, the computer program code comprising:

• computer program code that is configured to obtain acoustic signals from one or more sensors held on an external body region proximate at least one artery;
• computer program code that is configured to generate a complex frequency grid of frequencies and associated lifetimes of the obtained acoustic signals;
• computer program code that is configured to provide a predictive model of complex frequencies associated with peak-perturbation acoustic signals attributed to boundary perturbations in vivo that occur with early stage arterial disease;
• computer program code that is configured to provide a predictive model of complex frequencies associated with line-perturbation acoustic signals attributed to boundary perturbations in vivo that occur with later stage arterial disease ardor the thickening of arterial junctions;
• and
• computer program code that is configured to determine whether peak and/or line-perturbation acoustic signals of the predictive models are present to detect whether the subject has arterial disease, wherein the arterial disease is selected from the group consisting of plaque, deposits, stenosis, occluded, obstructed blood flow, arterial hardening, arterial wall thickness perturbations, thickening of arterial junctions, emboli, blood clots, aneurysms and combination thereof.