IP Library Granted Patent US 12,369,840
Granted Patent B2
US 12,369,840 · App. 17/603,512 · Granted Jul 29, 2025

System and method for cardiac mapping

Inventors: Dennis J. Morgan (Crystal, MN); Don C. Deno (Andover, MN); Emma K. Davis (St. Paul, MN); Thomas P Hartley (Menomonie, WI); Mark Hagfors (North Oaks, MN)
Assignee: St. Jude Medical, Cardiology Division, Inc.
A61B5/367A61B5/341A61B5/35A61B5/287
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,369,840
App. No.
17/603,512
Granted
Jul 29, 2025
Kind
B2
Abstract

Electrophysiological activity can be mapped using sub-intervals of electrophsyiological signals. An electroanatomical mapping system receives a plurality of electrophsyiological signals ( 402 ), each of which spans an activation interval. For each signal, the system identifies an initial event time within the activation interval, such as by identifying a time of maximum signal energy ( 404 ), and defines a sub-interval about the initial event time ( 406 ). The system then analyzes the sub-interval to identify one or more electrophysiological characteristics of the electrophysiological signal ( 408 ) and adds a corresponding electrophysiology data point to an electrophysiology map ( 410 ). Advantageously, the sub-interval can extend outside of the activation interval, such that the instant teachings allow for capture and analysis of deflections that occur at or near the boundaries of the activation interval.

Claims (44)

1. A method of mapping electrophysiological activity, comprising:

receiving from an electrophysiology catheter, at an electroanatomical mapping system including a display and a plurality of localization field generators that generate a non-ionizing localization field to measure a location of the electrophysiology catheter within the non-ionizing localization field, a plurality of electrophysiological signals measured by the electrophysiology catheter, wherein each electrophysiological signal spans an activation interval, and wherein each electrophysiological signal of the plurality of electrophysiological signals comprises an omnipolar signal; and

for each electrophysiological signal of the plurality of electrophysiological signals, the electroanatomical mapping system:

identifying an initial event time within the activation interval of the electrophysiological signal;

defining a sub-interval about the initial event time;

analyzing the sub-interval to identify one or more electrophysiological characteristics of the electrophysiological signal; and

adding an electrophysiology data point to an electrophysiology map, wherein the electrophysiology data point includes the one or more electrophysiological characteristics of the electrophysiological signal associated with the location of the electrophysiology catheter at which the electrophysiological signal was measured; and

outputting on the display a graphical representation of the electrophysiology map on an anatomical model.

2. The method according to claim 1 , wherein identifying an initial event time within the activation interval of the electrophysiological signal comprises using an energy function to identify the initial event time.

3. The method according to claim 2 , wherein using an energy function to identify the initial event time comprises identifying a time of greatest signal energy of the energy function as the initial event time.

4. The method according to claim 1 , wherein identifying an initial event time within the activation interval of the electrophysiological signal comprises using template matching to identify the initial event time.

5. The method according to claim 4 , wherein using template matching to identify the initial event time comprises identifying a time of maximum morphological correlation between the electrophysiological signal and a template signal as the initial event time.

6. The method according to claim 1 , wherein identifying an initial event time within the activation interval of the electrophysiological signal comprises using a weighted window function to identify the initial event time.

7. The method according to claim 1 , wherein the omnipolar signal comprises an omnipolar electrogram defined by at least two bipolar electrograms, and wherein identifying an initial event time within the activation interval of the electrophysiological signal comprises computing root mean squares of derivatives of the at least two bipolar electrograms to identify the initial event time.

8. The method according to claim 1 , wherein the omnipolar signal comprises an omnipolar electrogram defined by at least two bipolar electrograms, and wherein identifying an initial event time within the activation interval of the electrophysiological signal comprises computing a mean absolute value transform of derivatives of the at least two bipolar electrograms to identify the initial event time.

9. The method according to claim 1 , wherein the omnipolar signal comprises an omnipolar electrogram defined by two orthogonal bipolar electrograms, and wherein identifying an initial event time within the activation interval of the electrophysiological signal comprises computing a norm of derivatives of the two orthogonal bipolar electrograms to identify the initial event time.

10. The method according to claim 9 , wherein identifying the initial event time within the activation interval of the electrophysiological signal further comprises at least one of:

high-pass filtering the derivatives of the orthogonal bipolar electrograms prior to computing the norm of the derivatives of the two orthogonal bipolar electrograms; and

low-pass filtering the computed norm of the derivatives of the two orthogonal bipolar electrograms.

11. The method according to claim 1 , wherein defining a sub-interval about the initial event time comprises defining the sub-interval as an interval of preset duration centered on the initial event time.

12. The method according to claim 1 , wherein defining a sub-interval about the initial event time comprises:

the electroanatomical mapping system receiving user input defining a duration of the sub-interval; and

defining the sub-interval as an interval of the user-defined duration centered on the initial event time.

13. The method according to claim 1 , wherein the sub-interval extends outside of the activation interval.

14. A method of mapping electrophysiological activity, comprising:

receiving from an electrophysiology catheter, at an electroanatomical mapping system including a display and a plurality of localization field generators that generate a non-ionizing localization field to measure a location of the electrophysiology catheter within the non-ionizing localization field, a plurality of electrophysiological signals measured by the electrophysiology catheter, wherein each electrophysiological signal of the plurality of electrophysiological signals comprises an omnipolar electrogram defined by at least two bipolar electrograms; and

for each electrophysiological signal of the plurality of electrophysiological signals, the electroanatomical mapping system:

processing the electrophysiological signal to define a sub-interval including a deflection of interest;

analyzing only the sub-interval to identify one or more electrophysiological characteristics of the electrophysiological signal; and

adding an electrophysiology data point to an electrophysiology map, wherein the electrophysiology data point includes the one or more electrophysiological characteristics of the electrophysiological signal associated with the location of the electrophysiology catheter at which the electrophysiological signal was measured; and

outputting on the display a graphical representation of the electrophysiology map on an anatomical model.

15. The method according to claim 14 , wherein the at least two bipolar electrograms comprises a pair of orthogonal bipolar electrograms.

16. The method according to claim 14 , wherein the sub-interval is centered on the deflection of interest.

17. An electroanatomical mapping system, comprising:

a plurality of localization field generators that generate a non-ionizing localization field to measure a location of an electrophysiology catheter within the non-ionizing localization field;

a display; and

a sub-interval definition processor configured to:

receive from the electrophysiology catheter within the non-ionizing localization field an omnipolar electrophysiological signal spanning an activation interval;

identify, within the activation interval of the electrophysiological signal, a deflection of interest; and

define a sub-interval about the deflection of interest; and

a mapping processor configured to:

analyze the sub-interval to identify one or more electrophysiological characteristics of the electrophysiological signal;

add an electrophysiology data point to an electrophysiology map, wherein the electrophysiology data point includes the one or more electrophysiological characteristics of the electrophysiological signal associated with a location at which the electrophysiological signal was measured; and

output on the display a graphical representation of the electrophysiology map on an anatomical model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 25, 2022
From: MORGAN, DENNIS; DENO, DON CURTIS; DAVIS, EMMA K.; HARTLEY, THOMAS P.; HAGFORS, MARK
To: ST. JUDE MEDICAL, CARDIOLOGY DIVISION, INC.
Reel/Frame 061523/0721 →
Continuity (2)
Provisional Application 62852379 · May 24, 2019
Related Publication 20220183610A1 · Jun 16, 2022
References Cited (45)
US 5697377A · Wittkampf · 1997 [cited by applicant]
US 5983126A · Wittkampf · 1999 [cited by applicant]
US 6640119B1 · Budd et al. · 2003 [cited by applicant]
US 6728562B1 · Budd et al. · 2004 [cited by applicant]
US 6939309B1 · Beatty et al. · 2005 [cited by applicant]
US 6947785B1 · Beatty et al. · 2005 [cited by applicant]
US 6978168B2 · Beatty et al. · 2005 [cited by applicant]
US 6990370B1 · Beatty et al. · 2006 [cited by applicant]
US 7263397B2 · Hauck et al. · 2007 [cited by applicant]
US 7885707B2 · Hauck · 2011 [cited by applicant]
US 8909502B2 · Voth · 2014 [cited by applicant]
US 9364160B2 · Marziliano et al. · 2016 [cited by applicant]
US 9474491B2 · Li et al. · 2016 [cited by applicant]
US 10136829B2 · Deno et al. · 2018 [cited by applicant]
US 10149622B2 · Narayan et al. · 2018 [cited by applicant]
US 10296810B2 · Lee et al. · 2019 [cited by applicant]
US 10441187B2 · Afonso et al. · 2019 [cited by applicant]
US 10758147B2 · Relan et al. · 2020 [cited by applicant]
US 11058342B2 · Botzer et al. · 2021 [cited by applicant]
US 11179112B2 · Li et al. · 2021 [cited by applicant]
US 11950917B2 · Hagfors et al. · 2024 [cited by applicant]
US 20090275827A1 · Aiken · 2009 [cited by examiner]
US 20100069921A1 · Miller · 2010 [cited by examiner]
US 20100162786A1 · Keenan et al. · 2010 [cited by applicant]
US 20110166618A1 · Zhang et al. · 2011 [cited by applicant]
US 20130345577A1 · Thakur et al. · 2013 [cited by applicant]
US 20150051452A1 · Ciaccio · 2015 [cited by examiner]
US 20150057507A1 · Koyrakh et al. · 2015 [cited by applicant]
US 20150196215A1 · Laughner et al. · 2015 [cited by applicant]
US 20170156612A1 · Relan et al. · 2017 [cited by applicant]
US 20170202516A1 · Bar-Tal et al. · 2017 [cited by applicant]
US 20170360319A1 · Hagfors et al. · 2017 [cited by applicant]
US 20180296111A1 · Deno et al. · 2018 [cited by applicant]
US 20200253496A1 · Deno et al. · 2020 [cited by applicant]
CN 107087290A · 2017 [cited by applicant]
EP 2656784A1 · 2013 [cited by applicant]
WO 2016033075A1 · 2016 [cited by applicant]
WO 2017192301A1 · 2017 [cited by applicant]
WO WO2017192294A1 · 2017 [cited by examiner]
International Preliminary Report on Patentability Chapter I received for International PCT Application Serial No. PCT/US2020/034222 dated Dec. 2, 2021 9 pages. [cited by applicant]
Haldar, Shouvik K. et al.; “Resolving Bipolar Electrogram Voltages During Atrial Fibrillation Using Omnipolar Mapping”; Circulation: Arrhythmia and Electrophysiology, vol. 10, No. 9, Sep. 2017. [cited by applicant]
Alcaine, et al., “Spatiotemporal Model-Based Estimation of High-Density Atrial Fibrillation Activation Maps”, Digital Signal Processing, vol. 54, 2016, pp. 64-74. [cited by applicant]
Cantwell, et al., “Techniques for Automated Local Activation Time Annotation and Conduction Velocity Estimation in Cardiac Mapping”, Computers in Biology and Medicine, 2015, pp. 1-14. [cited by applicant]
Nakasuka, et al., ““Window Sliding” Analysis Combined with High-Density and Rapid Electroanatomical Mapping: its Efficacy and the Outcome of Catheter Ablation of Atrial Tachycardia”, Heart Vessels, Mar. 8, 2017, 13 page… [cited by applicant]
Oduneye, et al., “The Feasibility of Endocardial Propagation Mapping Using Magnetic Resonance Guidance in a Swine Model, and Comparison With Standard Electroanatomic Mapping”, IEEE Transactions on Medical Imaging, vol. … [cited by applicant]