SYSTEM AND METHOD FOR REAL-TIME THREE DIMENSIONAL MODELING OF CARDIOVASCULAR DYNAMICS AND THE HEART USING ELECTROCARDIOGRAM SIGNALS

• US 20140207005A1
• Filed: 01/24/2014
• Published: 07/24/2014
• Est. Priority Date: 01/24/2013
• Status: Abandoned Application

• Current Assignee: Board of Regents of Oklahoma State University
• Original Assignee: Board of Regents of Oklahoma State University
• Inventors: Le, Trung, Komanduri, Ranga, Bukkapatnam, Satish
• Application Number:
  US14/163,894
• Publication Number:
  US 20140207005A1
• Time in Patent Office: Days
• US Class Current: 600/485
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G09B 23/30 Anatomical models G09B23/281 - G09B23/288 take precedence

Abstract

There is taught herein a real-time, lumped parameter cardiovascular dynamics model that uses features extracted from online electrocardiogram (ECG) signal recordings to generate certain surrogate hemodynamic signals. The derived signals can be used to real time animate a 3-D heart model. The model represents the coupled dynamics of the heart chambers, valves, and pulmonary and systemic blood circulation loops in the form of nonlinear differential equations. The features extracted from ECG signals can be used to estimate the timings and amplitudes of the atrioventricular activation input functions as well as other model parameters that capture the effect of cardiac morphological and physiological characteristics. The results indicate the potential of a virtual instrument that uses the model-derived signals for clinical diagnosis in lieu of expensive instrumentation.

Claims

1. A method of displaying a real time 3D modeling of a patient'"'"'s heart, comprising the steps of:

a. positioning at least one ECG lead to read ECG signals from the patient'"'"'s heart;

b. selecting at least one of said at least one ECG lead;

c. using said selected at last one of said ECG lead to read patient ECG signals for a period of time at least as long as one complete heartbeat of the patient;

d. using said read patient ECG signals to estimate one or more cardiovascular hemodynamic parameters;

e. calculating elastance functions for a left ventricle, a right ventricle, a left atrium and a right atrium of the patient'"'"'s heart;

f. continuously reading said selected at least one ECG lead;

g. while said selected at least one ECG lead is being read, using at least said elastance functions, said at least one cardiovascular hemodynamic parameters and said read selected at least one ECG lead to animate and display in real-time a heart model of the patient'"'"'s heart.

2. A method according to claim 1, wherein exactly one ECG lead is selected.

3. A method according to claim 2, wherein said selected ECG lead is lead II.

4. A method according to claim 1, wherein said one or more cardiovascular hemodynamic parameters are selected from the group consisting of E_lvs, E_rvs, E_lvd, E_rvd, γ

, G_pa, O_pa, G_ra, O_ra, G_pv, and O_pv, where;

E_lvs, is a first elastance characteristic of the left ventricle,

E_rvs is a second elastance characteristic of the left ventricle,

E_lvd is a first elastance characteristic of the right atrium,

E_rvd is a second elastance characteristic of the right atrium,

γ

is a parameter representative of respiratory coupling,

G_pa is a parameter that quantifies a gain associated with a pulmonary arterial pressure,

O_pa is a parameter that quantifies an offset associated with a pulmonary arterial pressure,

G_ra is a parameter that quantifies a gain associated with a right arterial pressure,

O_ra is a parameter that quantifies an offset associated with a right venous pressure,

G_pv is a parameter that quantifies a pressure associated with a pulmonary venous pressure, and,

O_p, is a parameter that quantifies an offset associated with a pulmonary venous pressure.

5. A method according to claim 1 wherein said calculated elastance functions for the left ventricle, the right ventricle, the left atrium and the right atrium of the patient'"'"'s heart are given by the equations:

e_la(t)=E_lad+(E_las−

E_lad)*(u_a)+γ

Resp(t))

e_lv(t)=E_lvd+(E_lvs−

E_lvd)*(u_v(t)+γ

Resp(t)),

e_ra(t)=E_rad+(E_ras−

E_rad)*(u_a)(t)+γ

Resp(t))

e_rv(t)=E_rvdα

(E_rvs−

E_rvd)*(u_c(t)+γ

Resp(t)).

6. A method according to claim 1, wherein said heart model of the patient is a finite element model.

11. A method according to claim 1, wherein said one or more cardiovascular hemodynamic parameters are selected from the group consisting of E_lvs, E_rvs, E_lvd, E_rvd, γ

, G_pa, O_pa, G_ra, O_ra, G_pv, and O_pv, where;

E_lvs, is a first elastance characteristic of the left ventricle,

E_rvs is a second elastance characteristic of the left ventricle,

E_lvd is a first elastance characteristic of the right atrium,

E_rvd is a second elastance characteristic of the right atrium,

γ

is a parameter representative of respiratory coupling,

G_pa is a parameter that quantifies a gain associated with a pulmonary arterial pressure,

O_pa is a parameter that quantifies an offset associated with a pulmonary arterial pressure,

G_ra is a parameter that quantifies a gain associated with a right arterial pressure,

O_ra is a parameter that quantifies an offset associated with a right venous pressure,

G_pv is a parameter that quantifies a pressure associated with a pulmonary venous pressure, and,

O_pv is a parameter that quantifies an offset associated with a pulmonary venous pressure.

7. A method of estimating one or more cardiovascular hemodynamic parameters representative of an aspect of a patient'"'"'s heart, comprising the steps of:

a. positioning at least one ECG lead to read ECG signals from the patient'"'"'s heart;

b. selecting at least one of said at least one ECG lead;

c. using said selected at last one of said ECG lead to read patient ECG signals for a period of time at least as long as one complete heartbeat of the patient;

d. using said read patient ECG signals to estimate one or more cardiovascular hemodynamic parameters;

e. using any of said estimated one or more cardiovascular hemodynamic parameters to determine a condition of the patient'"'"'s heart.

8. A method according to claim 7, wherein step (e) comprises the steps of:

e. comparing each of said one or more of said estimated cardiovascular hemodynamic parameters with a population norm for said each of said estimated cardiovascular hemodynamic parameter, thereby determining a condition of the patient'"'"'s heart.

9. A method according to claim 7, wherein exactly one ECG lead is selected.

10. A method according to claim 9, wherein said selected ECG lead is lead II.