System and method to classify left ventricular and mitral valve function

[0006]In yet another aspect, the present invention is directed to one or more computer storage media storing computer-useable instructions that, when executed by one or more computing devices, cause the one or more computing devices to perform a method for classifying left ventricular function and mitral valve function. The method comprises: receiving data from a particular patient at a plurality of timepoints, wherein the data comprises transbrachial impedance velocimetry data collected from the patient at the plurality of timepoints and arterial pressure waveform data collected from the patient at the plurality of timepoints; determining a statistical copula between a second derivative of square-root-transformed patient-calibrated transbrachial electrical impedance velocimetry waveform timeseries d2sqrt(Z(t)/Z0)/dt2 and a first derivative of arterial blood pressure waveform timeseries dP/dt during a first and second interval at each of the plurality of timepoints; determining an extent of deterioration at each of the plurality of timepoints of left ventricular function based on the statistical copula determined during the first and second intervals; determining a statistical copula between a second derivative of square-root-transformed patient-calibrated transbrachial electrical impedance velocimetry waveform timeseries d2sqrt(Z(t)/Z0)/dt2 and a first derivative of arterial blood pressure waveform timeseries dP/dt during a third interval at each of the plurality of timepoints; determining an extent of deterioration at each of the plurality of timepoints of mitral valve function based on the statistical copula determined during the third interval; determining a statistical norm for the particular patient based on the determined extent of deterioration of left ventricular function a

However, traditional monitoring methods used to detect left ventricular dysfunction (LVD) and mitral valve regurgitation (MR) often produce false-positive and false-negative results, and are unduly invasi