Medical devices for mapping cardiac tissue

Patent metadata

Field	Value
Publication number	US-10368767-B2
Application number	US-201816154258-A
Country	US
Kind code	B2
Filing date	Oct 8, 2018
Priority date	Jun 20, 2014
Publication date	Aug 6, 2019
Grant date	Aug 6, 2019

Abstract

Medical devices and methods for making and using medical devices are disclosed. An example medical device may include a system for mapping the electrical activity of the heart. The system may include a catheter shaft with a plurality of electrodes. The system may also include a processor. The processor may be capable of collecting a set of signals from at least one of the plurality of electrodes. The set of signals may be collected over a time period. The processor may also be capable of calculating at least one propagation vector from the set of signals, generating a data set from the at least one propagation vector, generating a statistical distribution of the data set and generating a visual representation of the statistical distribution.

First claim

We claim:

1. A method for mapping the electrical activity of a targeted tissue region in a body, the method comprising:
receiving a data set corresponding to a plurality of cardiac signals sensed over a period of time;
determining propagation angles for the plurality of signals using the data set, the propagation angles including at least one propagation angle exceeding a threshold level of randomness; and
generating a propagation map including a visual indicator corresponding to the at least one propagation angle exceeding the threshold level of randomness.

2. The method of claim 1 , further comprising determining vector magnitudes for the plurality of signals.

3. The method of claim 1 , further comprising generating a diagnostic image including a visual representation, wherein the visual representation includes displaying one or more of a histogram, a circular histogram, a two-dimensional grid, a three-dimensional model, a three-dimensional surface and a propagation vector.

4. The method of claim 1 , further comprising performing a statistical analysis on the propagation angles.

5. The method of claim 4 , wherein performing the statistical analysis comprises determining statistical distributions of the propagation angles and the method further comprising comparing the statistical distributions.

6. The method of claim 5 , further comprising characterizing a shape of the statistical distributions by performing algorithmic computations.

7. The method of claim 6 , wherein performing an algorithmic computation comprises calculating at least one of the following: standard deviation, entropy, kurtosis, skewness or the circular average of the data set.

8. The method of claim 1 , further comprising generating at least one representative metric and wherein the at least one representative metric correlates to the propagation angles.

9. The method of claim 8 , further comprising correlating the at least one representative metric to a metric indicator.

10. The method of claim 9 , wherein the metric indicator comprises at least one of a representative: number, color, texture, shape, and other visual indicator that can be easily visualized on a display.

11. A non-transitory computer-readable medium comprising executable instructions that, when executed by one or more processors, cause the one or more processors to:
receive a data set corresponding to a plurality of cardiac signals sensed by a plurality of electrodes over a period of time;
determine propagation angles for the plurality of signals;
determine when at least one propagation angle of the propagation angles exceeds a threshold level of randomness; and
generate a propagation map including a visual indicator corresponding to the at least one propagation angle.

12. The non-transitory computer-readable medium of claim 11 , further comprising executable instructions that when executed by one or more processors cause the one or more processors to determine vector magnitudes for the plurality of signals.

13. The non-transitory computer-readable medium of claim 11 , further comprising executable instructions that when executed by one or more processors cause the one or more processors to generate a diagnostic image including a visual representation, wherein the visual representation includes displaying one or more of a histogram, a circular histogram, a two-dimensional grid, a three-dimensional model, a three-dimensional surface and a propagation vector.

14. The non-transitory computer-readable medium of claim 11 , further comprising executable instructions that when executed by one or more processors cause the one or more processors to perform a statistical analysis on the propagation angles.

15. The non-transitory computer-readable medium of claim 14 , wherein performing the statistical analysis comprises determining statistical distributions of the propagation angles and the method further comprising comparing the statistical distributions.

16. The non-transitory computer-readable medium of claim 15 , further comprising executable instructions that when executed by one or more processors cause the one or more processors to characterize a shape of the statistical distributions by performing algorithmic computations.

17. The non-transitory computer-readable medium of claim 16 , wherein performing an algorithmic computation comprises calculating at least one of the following: standard deviation, entropy, kurtosis, skewness or the circular average of the data set.

18. The non-transitory computer-readable medium of claim 11 , further comprising executable instructions that when executed by one or more processors cause the one or more processors to generate at least one representative metric and wherein the at least one representative metric correlates to the propagation angles.

19. The non-transitory computer-readable medium of claim 18 , further comprising executable instructions that when executed by one or more processors cause the one or more processors to correlate the at least one representative metric to a metric indicator.

20. The non-transitory computer-readable medium of claim 19 , wherein the metric indicator comprises at least one of a representative: number, color, texture, shape, and other visual indicator that can be easily visualized on a display.

Assignees

• Boston Scient Scimed Inc

Inventors

• Laughner Jacob I
• Shome Shibaji
• Hultz Paul
• Stalsberg Kevin J
• Thakur Pramodsingh H

Classifications

• A61B5/339

  Displays specially adapted therefor · CPC title

• A61B5/367 Primary

  Electrophysiological study [EPS], e.g. electrical activation mapping or electro-anatomical mapping · CPC title

• A61B5/046

  Human Necessities · mapped topic

• A61B2018/00357

  Endocardium · CPC title

• A61B2018/00577

  Ablation · CPC title