IP Library Granted Patent US 11,366,991
Granted Patent B2
US 11,366,991 · App. 16/674,921 · Granted Jun 21, 2022

Optimizing mapping of ECG signals retrospectively by detecting inconsistency

Inventors: Assaf Govari (Haifa, IL); Vadim Gliner (Haifa, IL)
Assignee: BIOSENSE WEBSTER (ISRAEL) LTD
G06K9/6284A61B5/287A61B5/316A61B5/327A61B5/339A61B5/7203A61B5/7221A61B5/743G06V10/98
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Quick Facts
Patent No.
US 11,366,991
App. No.
16/674,921
Granted
Jun 21, 2022
Kind
B2
Abstract

A system includes signal acquisition circuitry and a processor. The signal acquisition circuitry is configured to receive multiple intra-cardiac signals acquired by multiple electrodes of an intra-cardiac probe in a heart of a patient. The processor is configured to perform a sequence of annotation-visualization operations at subsequent times, by performing, in each operation: extracting multiple annotation values from the intra-cardiac signals, selecting a group of the intra-cardiac signals, identifying in the group one or more annotation values that are statistically deviant by more than a predefined measure of deviation, and visualizing the annotation values to a user, while omitting and refraining from visualizing the statistically deviant annotation values. The processor is further configured to assess, over one or more of the annotation-visualization operations, a rate of omissions of annotation values, and to take a corrective action in response to detecting that the rate of omissions exceeds a predefined threshold.

Claims (37)

1. A system, comprising:

signal acquisition circuitry, which is configured to receive multiple intra-cardiac signals acquired by multiple electrodes of an intra-cardiac probe in a heart of a patient; and

a processor, which is configured to:

perform a sequence of annotation-visualization operations at subsequent times, by performing, in each operation:

(i) extracting multiple annotation values from the intra-cardiac signals;

(ii) selecting a group of the intra-cardiac signals;

(iii) identifying in the group one or more annotation values that are statistically deviant by more than a predefined measure of deviation; and

(iv) visualizing the annotation values to a user, while omitting and refraining from visualizing the statistically deviant annotation values;

assess, over one or more of the annotation-visualization operations, a rate of omissions of annotation values; and

take a corrective action in response to detecting that the rate of omissions exceeds a predefined threshold.

2. The system according to claim 1 , wherein the processor is configured to take the corrective action by re-applying one or more of the omitted annotation values and re-identifying the statistically deviant annotation values.

3. The system according to claim 1 , wherein the processor is configured to take the corrective action by re-extracting one or more of the annotation values from the intra-cardiac signals.

4. The system according to claim 1 , wherein the processor is configured to define the measure of the deviation in terms of a standard score of the annotation values.

5. The system according to claim 1 , wherein the processor is configured to define the measure of the deviation in terms of one or more percentiles of the annotation values.

6. The system according to claim 1 , wherein, in a given annotation-visualization operation, the processor is configured to calculate deviations of the annotation values over intra-cardiac signals acquired by a selected subset of spatially-related electrodes located no more than a predefined distance from one another in the heart.

7. The system according to claim 1 , wherein, in calculating deviations of the annotation values for a given annotation-visualization operation, the processor is configured to average the intra-cardiac signals over multiple temporally-related cardiac cycles that occur within a predefined time duration.

8. The system according to claim 1 , wherein, in a given annotation-visualization operation, the processor is configured to correct one or more of the annotation values in a given intra-cardiac signal, acquired by a given electrode in the group, to compensate for a displacement of the given electrode relative to the other electrodes in the group.

9. The system according to claim 1 , wherein the annotation values comprise Local Activation Times (LATS).

10. The system according to claim 1 , wherein the processor is configured to visualize the annotation values by overlaying the annotation values, excluding the statistically deviant annotation values, on a model of the heart.

11. A method, comprising:

receiving multiple intra-cardiac signals acquired by multiple electrodes of an intra-cardiac probe in a heart of a patient;

performing a sequence of annotation-visualization operations at subsequent times, by performing, in each operation:

(i) extracting multiple annotation values from the intra-cardiac signals;

(ii) selecting a group of the intra-cardiac signals;

(iii) identifying in the group one or more annotation values that are statistically deviant by more than a predefined measure of deviation; and

(iv) visualizing the annotation values to a user, while omitting and refraining from visualizing the statistically deviant annotation values;

assessing, over one or more of the annotation-visualization operations, a rate of omissions of annotation values; and

taking a corrective action in response to detecting that the rate of omissions exceeds a predefined threshold.

12. The method according to claim 11 , wherein taking the corrective action comprises re-applying one or more of the omitted annotation values and re-identifying the statistically deviant annotation values.

13. The method according to claim 11 , wherein taking the corrective action comprises re-extracting one or more of the annotation values from the intra-cardiac signals.

14. The method according to claim 11 , wherein the measure of the deviation is defined in terms of a standard score of the annotation values.

15. The method according to claim 11 , wherein the measure of the deviation is defined in terms of one or more percentiles of the annotation values.

16. The method according to claim 11 , and comprising, in a given annotation-visualization operation, calculating deviations of the annotation values over intra-cardiac signals acquired by a selected subset of spatially-related electrodes located no more than a predefined distance from one another in the heart.

17. The method according to claim 11 , and comprising, in calculating deviations of the annotation values for a given annotation-visualization operation, averaging the intra-cardiac signals over multiple temporally-related cardiac cycles that occur within a predefined time duration.

18. The method according to claim 11 , and comprising, in a given annotation-visualization operation, correcting one or more of the annotation values in a given intra-cardiac signal, acquired by a given electrode in the group, to compensate for a displacement of the given electrode relative to the other electrodes in the group.

19. The method according to claim 11 , wherein the annotation values comprise Local Activation Times (LATS).

20. The method according to claim 11 , wherein visualizing the annotation values comprises overlaying the annotation values, excluding the statistically deviant annotation values, on a model of the heart.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 24, 2021
From: GOVARI, ASSAF; GLINER, VADIM
To: BIOSENSE WEBSTER (ISRAEL) LTD.
Reel/Frame 055396/0042 →
Continuity (1)
Related Publication 20210133516A1 · May 6, 2021
Cited By (1)
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