Medical devices for mapping cardiac tissue

• US 10,092,204 B2
• Filed: 07/11/2017
• Issued: 10/09/2018
• Est. Priority Date: 06/20/2014
• Status: Active Grant

• Current Assignee: Boston Scientific Scimed, Inc. (Boston Scientific Corporation)
• Original Assignee: Boston Scientific Scimed, Inc. (Boston Scientific Corporation)
• Inventors: Laughner, Jacob I., Shome, Shibaji, Hultz, Paul, Stalsberg, Kevin J., Thakur, Pramodsingh H.
• Primary Examiner(s): Stice, Paula J
• Application Number:
  US15/646,503
• Publication Number:
  US 20170303807A1
• Time in Patent Office: 455 Days
• 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 2018/00357 Endocardium
• CPC Class Codes: A61B 2018/00577 Ablation
• CPC Class Codes: A61B 2018/00839 Bioelectrical parameters, e.g. ECG, EEG
• CPC Class Codes: A61B 2505/05 Surgical care
• 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 5/339 Displays specially adapted therefor
• 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 5/6858 with a distal basket, e.g. expandable basket
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots

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.

Claims

1. A system for mapping electrical activity of a targeted cardiac tissue region in a body, the system comprising:

a catheter comprising a distal end including a multiple electrode structure, the multiple electrode structure configured to sense a plurality of signals generated by the cardiac tissue over a period of time;

a processor electrically coupled to the multiple electrode structure, the processing being configured to;

receive the plurality of signals;

determine propagation angles for the plurality of signals, the propagation angles including at least one propagation angle exceeding a threshold level of randomness;

generate data sets for each electrode of the multiple electrode structure, wherein the data sets are based on the plurality of signals sensed by the multiple electrode structure and include the determined propagation angles for the plurality of signals; and

generate a propagation map using the generated data sets, the propagation map including a visual indicator corresponding to the at least one propagation angle exceeding the threshold level of randomness.

2. The system of claim 1, wherein the processor is further configured to:

determine vector magnitudes for the plurality of signals and wherein the generated data sets include the determined vector magnitudes.

3. The system of claim 1, wherein the processor is further configured to:

generate a diagnostic image includes 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, and a three-dimensional surface.

4. The system of claim 1, wherein to generate the data set, the processor is configured to perform a statistical analysis on the propagation angles.

5. The system of claim 4, wherein to perform a statistical analysis, the processor is configured to determine statistical distributions of the propagation angles and compare the statistical distributions.

6. The system of claim 5, wherein the processor is further configured to characterize the shape of the statistical distributions by performing algorithmic computations.

7. The system of claim 6, wherein to perform the algorithmic computations, the processor is configured to calculate at least one of the following:

standard deviation, entropy, kurtosis, skewness or the circular average of the data set.

8. The system of claim 1, wherein to generate the data set, the processor is configured to generate at least one representative metric and wherein the at least one representative metric correlates to the propagation angles.

9. The system of claim 8, wherein the processor is further configured to correlate the at least one representative metric to a metric indicator.

10. The system of claim 9, wherein the metric indicator comprise at least one of a representative:

number, color, texture, shape, and other visual indicator that can be easily visualized on a display.