Abstract: The disclosure describes an electronic stethoscope system that automatically detects coronary artery disease in patients. The system uses an electronic stethoscope to record acoustic data from the fourth left intercostal space of a patient. A processing technique is then applied in order to filter the data and produce Fast Fourier Transform (FFT) data of magnitude versus frequency. If a bell curve is identified in the data between a predefined frequency range (e.g., 50 and 80 Hz) with a peak magnitude of greater than a predefined threshold (e.g., 2.5 units), the system automatically provides an output indicating that the patient is likely to have 50 to 99 percent stenosis of the coronary artery. If no bell curve is present, the patient may have artery stenosis of less than 50 percent. An interface module may be used to transfer diagnosis information to the stethoscope and data to a general purpose computer.

Abstract: Embodiments relate to non-invasive medical devices, systems and methods for the detection of coronary artery disease. In an embodiment, a handheld coronary artery disease (CAD) detection device is used in a non-invasive manner to determine whether an internal coronary artery blockage is present. The CAD detection device can be used in conjunction with an identification element, such as scanning area identification pads or a scanning area guide, to aid in the proper placement of the CAD detection device while scanning a patient. Advantages of embodiments include non-invasive test procedures; quick results; and cost-effectiveness.