METHOD FOR ANALYSIS OF COMPLEX RHYTHM DISORDERS

• US 20160374571A1
• Filed: 09/09/2016
• Published: 12/29/2016
• Est. Priority Date: 10/09/2008
• Status: Active Grant

• Current Assignee: US Department of Veterans Affairs (Government of the United States of America), Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: NARAYAN, Sanjiv M., RAPPEL, Wouter-Jan
• Granted Patent: US 10,092,196 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 18/1206 Generators therefor
• CPC Class Codes: A61B 18/1492 having a flexible, catheter-like structure, e.g. for heart ablation A61B18/1477 takes precedence
• CPC Class Codes: A61B 2018/00214 Expandable means emitting energy, e.g. by elements carried thereon
• CPC Class Codes: A61B 2018/00351 Heart
• CPC Class Codes: A61B 2018/00357 Endocardium
• CPC Class Codes: A61B 2018/00375 Ostium, e.g. ostium of pulmonary vein or artery
• CPC Class Codes: A61B 2018/00839 Bioelectrical parameters, e.g. ECG, EEG
• CPC Class Codes: A61B 2018/1435 Spiral
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61B 5/243 specially adapted for magnetocardiographic [MCG] signals
• CPC Class Codes: A61B 5/283 Invasive
• CPC Class Codes: A61B 5/287 Holders for multiple electrodes, e.g. electrode catheters for electrophysiological study [EPS]
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/341 Vectorcardiography [VCG]
• CPC Class Codes: A61B 5/349 : Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/35 : by template matching
• CPC Class Codes: A61B 5/361 : Detecting fibrillation
• CPC Class Codes: A61B 5/363 : Detecting tachycardia or bradycardia
• CPC Class Codes: A61B 5/4836 : Diagnosis combined with treatment in closed-loop systems or methods A61B5/0036 takes precedence
• CPC Class Codes: A61B 5/6857 : with a distal pigtail shape
• CPC Class Codes: A61B 5/6858 : with a distal basket, e.g. expandable basket
• CPC Class Codes: A61B 5/6859 : with multiple distal splines
• CPC Class Codes: A61B 5/7203 : for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/726 : using Wavelet transforms
• CPC Class Codes: A61B 5/7405 : using sound
• CPC Class Codes: A61B 7/04 : Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: A61B 8/0883 : for diagnosis of the heart

Abstract

A method of analyzing a complex rhythm disorder in a human heart includes accessing signals from a plurality of sensors disposed spatially in relation to the heart, where the signals are associated with activations of the heart, and identifying a region of the heart having an activation trail that is rotational or radially emanating, where the activation trail is indicative of the complex rhythm disorder and is based on activation times associated with the activations of the heart.

Claims

1. A computer-implemented method comprising:

aggregating probability values computed from data received from a plurality of sensor locations, on a representation of cardiac anatomy in a first interval of a plurality of intervals, corresponding to a first map, with a value computed for each respective sensor location on the representation of cardiac anatomy in at least a second interval of the plurality of intervals, corresponding to a second map, to provide a combination map;

correlating the values for each of the plurality of points of the representation of cardiac anatomy on the combination map to provide a reference; and

repeating the aggregating and the correlating to generate at least another combination map based on the first map, the second map and at least one other map that include a respective value computed for each respective point of the plurality of points on the representation of cardiac anatomy until threshold criteria are met.

2. The method of claim 1, wherein the combination map is a map of a complex heart rhythm disorder.

3. The method of claim 2, wherein the combination map is one or more of a map of phase singularities, an activation map, a phase map, a map of dominant frequencies, a map of fractionated signals, a map of disorganized signals, a map of low signal amplitudes, a map of reentrant waves, a topological map, a map of isolines, and a spatial map.

4. The method of claim 3, wherein the map of phase singularities represents an aggregate number of phase singularities located on any particular region of the representation of the cardiac anatomy.

5. The method of claim 4, wherein the map of phase singularities indicates the likelihood of sources of a complex heart rhythm disorder being located on a particular region of the representation of the cardiac anatomy.

6. The method of claim 5, wherein the sources of the complex heart rhythm disorder include representations from an activation trail.

7. The method of claim 6, wherein said activation trail represents one or more of a rotor, a focal source or another source of the complex heart rhythm disorder.

8. The method of claim 1, wherein the plurality of points is derived from one or more of an electrocardiogram, magnetocardiogram, echocardiogram, ultrasound, electromagnetic radiation, sound waves, microwaves, and electrical impedance changes.

9. A system comprising:

a plurality of sensors disposed at multiple sensor locations to sense cardiac information signals; and

a processor interfacing with the plurality of sensors, wherein the processor is configured to;

aggregate probability values computed from data received from the plurality of sensor locations, on a representation of cardiac anatomy in a first interval of a plurality of intervals, corresponding to a first map, with a value computed for each respective sensor location on the representation of cardiac anatomy in at least a second interval of the plurality of intervals, corresponding to a second map, to provide a combination map;

correlate the values for each of the plurality of points of the representation of cardiac anatomy on the combination map to provide a reference; and

repeat the aggregating and the correlating to generate at least another combination map based on the first map, the second map and at least one other map that include a respective value computed for each respective point of the plurality of points on the representation of cardiac anatomy until threshold criteria are met.

10. The system of claim 9, wherein the combination map is a map of a complex heart rhythm disorder.

11. The system of claim 10, wherein the combination map is one or more of a map of phase singularities, an activation map, a phase map, a map of dominant frequencies, a map of fractionated signals, a map of disorganized signals, a map of low signal amplitudes, a map of reentrant waves, a topological map, a map of isolines, and a spatial map.

12. The system of claim 11, wherein the map of phase singularities represents an aggregate number of phase singularities located on any particular region of the representation of the cardiac anatomy.

13. The system of claim 12, wherein the map of phase singularities indicates the likelihood of sources of a complex heart rhythm disorder being located on a particular region of the representation of the cardiac anatomy.

14. The system of claim 13, wherein the sources of the complex heart rhythm disorder include representations from an activation trail.

15. The system of claim 14, wherein the activation trail represents one or more of a rotor, a focal source or another source of the complex heart rhythm disorder.

16. The system of claim 9, wherein the plurality of points is derived from one or more of an electrocardiogram, magnetocardiogram, echocardiogram, ultrasound, electromagnetic radiation, sound waves, microwaves, and electrical impedance changes.

17. A non-transitory computer readable medium comprising instructions which when executed by a computing device, cause the computing device to perform:

aggregating probability values computed from data received from a plurality of sensor locations, on a representation of cardiac anatomy in a first interval of a plurality of intervals, corresponding to a first map, with a value computed for each respective sensor location on the representation of cardiac anatomy in at least a second interval of the plurality of intervals, corresponding to a second map, to provide a combination map;

correlating the values for each of the plurality of points of the representation of cardiac anatomy on the combination map to provide a reference; and

repeating the aggregating and the correlating to generate at least another combination map based on the first map, the second map and at least one other map that include a respective value computed for each respective point of the plurality of points on the representation of cardiac anatomy until threshold criteria are met.

18. The computer readable medium of claim 17, wherein the combination map is a map of a complex heart rhythm disorder.

19. The computer readable medium of claim 18, wherein the combination map is one or more of a map of phase singularities, an activation map, a phase map, a map of dominant frequencies, a map of fractionated signals, a map of disorganized signals, a map of low signal amplitudes, a map of reentrant waves, a topological map, a map of isolines, and a spatial map.

20. The computer readable medium of claim 19, wherein the map of phase singularities represents an aggregate number of phase singularities located on any particular region of the representation of the cardiac anatomy.

21. The computer readable medium of claim 20, wherein the map of phase singularities indicates the likelihood of sources of a complex heart rhythm disorder being located on a particular region of the representation of the cardiac anatomy.

22. The computer readable medium of claim 21, wherein said sources of the complex heart rhythm disorder include representations from an activation trail.

23. The computer readable medium of claim 22, wherein said activation trail represents one or more of a rotor, a focal source or another source for a heart rhythm disorder.

24. The computer readable medium of claim 17, wherein said plurality of points is derived from one or more of an electrocardiogram, magnetocardiogram, echocardiogram, ultrasound, electromagnetic radiation, sound waves, microwaves, and electrical impedance changes.