# US 11,432,755 B2 · Systems and methods for clustering wavefront signals in electrophysiological maps

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- Number: US 11,432,755 B2
- Document ID: US11432755B2
- Status: Granted
- Kind: B2
- Application number: 17/027,252
- Filed: 2020-09-21
- Published: 2022-03-24
- Granted: 2022-09-06
- Earliest claimed: 2020-09-21
- Assignees: Biosense Webster (Israel) Ltd.
- Applicants: Biosense Webster (Israel) Ltd.
- Inventors: Assaf Cohen; Fady Massarwi; Sigal Altman; Gal Bar Zohar; Leonid Zaides
- Web page: https://patentgrep.com/patent/US11432755B2

## CPC

- A61B 5/287: Holders for multiple electrodes, e.g. electrode catheters for electrophysiological study [EPS]
- A61B 5/341: Vectorcardiography [VCG]
- A61B 5/316: Modalities, i.e. specific diagnostic methods
- A61B 5/339: Displays specially adapted therefor
- A61B 5/6858: {with a distal basket, e.g. expandable basket}
- A61B 5/7235: {Details of waveform analysis (detecting specific parameters of the electrocardiograph cycle A61B5/349)}
- A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor}
- A61B 5/7278: {Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals}
- A61B 5/743: {Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots}
- G06F 18/23: Clustering techniques
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

A system and method for clustering wavefront signals in an electrophysiological map of a cardiac tissue are provided. The system and method include receiving an electrophysiological map of the cardiac tissue, displaying propagation of the wavefront signals as a plurality of velocity vectors, discretizing the received electrophysiological map into a plurality of sections, clustering the velocity vectors into at least one group within each section based on predefined criteria, and generating a trend line representative of each group of clustered velocity vectors within each section in the electrophysiological map.

## Claims

### Claim 1

A method for clustering wavefront signals in an electrophysiological map of a cardiac tissue, comprising:
providing a processor configured to receive an electrophysiological map of the cardiac tissue, the electrophysiological map including a plurality of wavefront signals;
displaying propagation of the plurality of wavefront signals as a plurality of velocity vectors;
discretizing the received electrophysiological map into a plurality of isochronal sections;
clustering the plurality of velocity vectors into at least one group within each isochronal section based on predefined criteria; and
generating a trend line representative of each group of clustered velocity vectors within each isochronal section in the electrophysiological map.

### Claim 2 (depends on 1)

The method of claim 1, wherein the cardiac tissue is an atrial chamber.

### Claim 3 (depends on 1)

The method of claim 1, wherein the received electrophysiological map is a 3D map of local activation times associated with the cardiac tissue.

### Claim 4 (depends on 1)

The method of claim 1, wherein the electrophysiological map is discretized based on the direction of the plurality of velocity vectors.

### Claim 5 (depends on 1)

The method of claim 1, wherein clustering further comprises applying a clustering algorithm to group the plurality of velocity vectors.

### Claim 6 (depends on 1)

The method of claim 1, wherein the predefined criteria for clustering the plurality of velocity vectors comprises at least one of a predefined proximity, a common direction, or a common propagation velocity.

### Claim 7 (depends on 1)

The method of claim 1, further comprising displaying the trend lines as arrows in a 3D electrophysiological map on a display.

### Claim 8 (depends on 1)

The method of claim 1, wherein the processor is a component of an electrophysiological mapping system.

### Claim 9 (depends on 1)

The method of claim 1, wherein the electrophysiological map is generated by an electrophysiological mapping system.

### Claim 10

A system for clustering wavefront signals in an electrophysiological map of a cardiac tissue, comprising:
a processor comprising a memory configured to:
receive an electrophysiological map of the cardiac tissue displaying propagation of the wavefront signals as a plurality of velocity vectors;
discretize the received electrophysiological map into a plurality of isochronal sections;
cluster the plurality of velocity vectors into at least one group within each isochronal section based on predefined criteria; and
generate a trend line representative of each group of clustered velocity vectors within each isochronal section in the electrophysiological map.

### Claim 11 (depends on 10)

The system of claim 10, wherein the cardiac tissue is an atrial chamber.

### Claim 12 (depends on 10)

The system of claim 10, wherein the received electrophysiological map is a 3D map of local activation times associated with the cardiac tissue.

### Claim 13 (depends on 10)

The system of claim 10, wherein the electrophysiological map is discretized based on the direction of the plurality of velocity vectors.

### Claim 14 (depends on 10)

The system of claim 10, wherein the processor is further configured to apply a clustering algorithm to cluster the plurality of velocity vectors.

### Claim 15 (depends on 10)

The system of claim 10, wherein the predefined criteria for clustering the plurality of velocity vectors comprises at least one of a predefined proximity, a common direction, or a common propagation velocity.

### Claim 16 (depends on 10)

The system of claim 10, wherein
the electrophysiological map is a 3D electrophysiological map; and
the processor is further configured to display the trend lines as arrows in the 3D electrophysiological map on a display.

### Claim 17 (depends on 10)

The system of claim 10, wherein the processor is a component of an electrophysiological mapping system.

### Claim 18

A non-transitory computer readable recording medium storing program instructions for clustering wavefront signals in an electrophysiological map of a cardiac tissue by causing a computer to execute the steps of:
receiving an electrophysiological map of the cardiac tissue, the electrophysiological map including a plurality of wavefront signals;
displaying propagation of the plurality of wavefront signals as a plurality of velocity vectors;
discretizing the received electrophysiological map into a plurality of isochronal sections;
clustering the plurality of velocity vectors into at least one group within each isochronal section based on predefined criteria;
generating a trend line representative of each group of clustered velocity vectors within each isochronal section in the electrophysiological map; and
displaying the trend lines in the electrophysiological map on a display.