CARDIOVASCULAR STATE DETERMINATION APPARATUS AND METHOD OF USE THEREOF

1 . A method for estimating a state of a cardiovascular system of a person, comprising the steps of:

providing a cardiac analyzer, comprising:

a blood pressure sensor, said blood pressure sensor generating a time-varying pressure state waveform output from at least one of a limb, a head, a nose, a forehead, and an ear of the person;

a system processor connected to said blood pressure sensor; and

a dynamic state-space model of a cardiovascular system;

said system processor receiving cardiovascular input data, from said blood pressure sensor, related to a transient pressure state of the cardiovascular system;

at least one probabilistic model, of said dynamic state-space model, operating on the time-varying pressure state waveform output to generate a probability distribution function to a non-pressure state of the cardiovascular system;

iteratively updating said probability distribution function using updated time-varying pressure state waveform output from said blood pressure sensor; and

said system processor processing the probability distribution function to generate a non-pressure state output related to the cardiovascular system,

said output provided to at least one of:

the person on an output screen;

a medical professional on a display screen; and

an artificial intelligence system.

2 . The method of claim 1 , wherein said non-pressure state output related to the cardiovascular system comprises at least one of:

a heart state;

a stroke volume of a heart of the person;

a valve regurgitation state;

a valve regurgitation flow rate; and

a reverse flow of blood through a heart valve.

3 . The method of claim 2 , said dynamic state-space model of the cardiovascular system comprising:

a state-space model of a dynamic pumping action of a heart of the person.

4 . The method of claim 3 , further comprising the step of:

prognosticating an arrhythmia.

5 . The method of claim 1 , wherein said non-pressure state output related to the cardiovascular system comprises at least one of:

an arterial state;

a vascular compliance;

a vascular resistance;

a central venous pressure;

a mean arterial pressure; and

an arterial compliance of the person.

6 . The method of claim 2 , said dynamic state-space model of the cardiovascular system comprising:

a state-space model of at least one of an aorta, an artery, and a vein of said cardiovascular system.

7 . The method of claim 1 , further comprising the step of:

determining time varying blood pressure from time varying pulse ox measurements.

8 . The method of claim 1 , further comprising the step of:

determining first noise resultant from motion with a second instrument; and

filtering second noise from said blood pressure instrument at a time period of said first noise.

9 . The method of claim 1 , further comprising a step of:

collecting said time-varying pressure state waveform with a pulse oximeter.

10 . The method of claim 9 , further comprising the step of:

combining first data from said pulse oximeter with second data from an electrocardiogram.

11 . The method of claim 9 , further comprising the step of:

combining first data from said pulse oximeter with second data from a blood pressure cuff.

12 . The method of claim 1 , further comprising the step of:

combining said time varying blood pressure data with a hemodynamics physical model to yield a valve regurgitation state.

13 . The method of claim 1 , further comprising a step of:

adjusting said dynamic state-space model with at least one of:

an age fitting constant; and

a gender fitting constant.

14 . The method of claim 1 , further comprising a step of:

adjusting said dynamic state-space model with a physical model including medical history of the person.

15 . The method of claim 1 , further comprising the step of:

incorporating into said dynamic state-space model of the cardiovascular system a physical model of a portion of said cardiovascular system outside of a heart of the person.

16 . The method of claim 1 , further comprising the step of:

incorporating into said dynamic state-space model of the cardiovascular system a physical model of a portion of a heart of the person.

17 . The method of claim 1 , further comprising the step of:

determining a time varying blood pressure from time varying light absorbance measurements.