Physiological mapping for arrhythmia

Patent metadata

Field	Value
Publication number	US-9427166-B2
Application number	US-201314032552-A
Country	US
Kind code	B2
Filing date	Sep 20, 2013
Priority date	Sep 21, 2012
Publication date	Aug 30, 2016
Grant date	Aug 30, 2016

Abstract

A non-transitory computer-readable medium can have instructions executable by a processor. The instructions can include an electrogram reconstruction method to generate reconstructed electrogram signals for each of a multitude of points residing on or near a predetermined cardiac envelope based on geometry data and non-invasively measured body surface electrical signals. The instructions can include a phase calculator to compute phase signals for the multitude of points based on the reconstructed electrogram signals and a visualization engine to generate an output based on the computed phase signals.

First claim

What is claimed is:

1. A system comprising:
a non-transitory memory to store machine readable instructions and data; and
a processor to access the memory and execute the instructions for performing a method that comprises:
converting processed electrical data, corresponding to non-invasive electrical data obtained from a patient for at least one time interval, to corresponding reconstructed electrical signals on a predetermined cardiac envelope, the reconstructed electrical signals being spatially and temporally consistent;
computing phase data based on the reconstructed electrical signals.

2. The system of claim 1 , wherein the method further comprises generating an output based on the computed phase data,
wherein the output comprises a phase map for the cardiac envelope.

3. The system of claim 2 , wherein the method further comprises determining a location of at least one phase singularity on the cardiac envelope and displaying the location of the at least one phase singularity in the phase map for the cardiac envelope.

4. The system of claim 2 , wherein the method further comprises determining a location of at least one focal source on the cardiac envelope and displaying the location of the at least one focal source in the phase map for the cardiac envelope.

5. The system of claim 1 , wherein the method further comprises:
computing rotor characteristics based on the phase data; and
generating an output based on the computed phase data over the at least one time interval, wherein the output comprises a rotor map.

6. The system of claim 1 , further comprising an arrangement of electrodes configured to cover a predetermined portion of a patient's torso and detect electrical activity non-invasively from an exterior surface of the patient's torso, the detected electrical activity corresponding to the non-invasive electrical data.

7. The system of claim 6 , further comprising a therapy device configured to deliver therapy to cardiac tissue at a spatial location identified based on the computed phase data.

8. The system of claim 1 , wherein the method further comprises computing temporal frequency of a spatial location for a rotor core over at least one time interval.

9. The system of claim 1 , wherein the method further comprises:
estimating an indication of an integral of phase gradient for the cardiac envelope; and
generating an output comprising an integral phase gradient map based on the estimated indication to present spatially and temporally consistent phase information for multiple chambers of the patient's heart corresponding to the cardiac envelope.

10. The system of claim 1 , wherein prior to the converting, the method further comprises preprocessing non-invasive electrical data obtained from the patient for at least one time interval to extract signal features determined to contribute to arrhythmia and providing the processed electrical data corresponding to the extracted signal features, the reconstructed electrical signals being derived from the processed electrical data.

11. The system of claim 10 , wherein the cardiac envelope is an epicardial surface and the arrhythmia is at least one of atrial fibrillation, atrial tachycardia, ventricular tachycardia and ventricular fibrillation.

12. The system of claim 1 , wherein following the converting, the method further comprises the processing the reconstructed electrical signals to provide post-processed reconstructed electrical signals, the computed phase data being computed based on the post-processed reconstructed electrical signals.

13. The system of claim 1 , wherein prior to the converting, the method further comprises preprocessing non-invasive electrical data obtained from a patient for at least one time interval to remove signal features determined not to contribute to a predefined arrhythmia and to provide the processed electrical data, the reconstructed electrical signals being derived from the processed electrical data.

14. The system of claim 13 , wherein the preprocessing further comprises removing signal features from the non-invasive electrical data that are due to ventricular electrical activity to increase specificity for an atrial type of arrhythmia.

15. The system of claim 14 , wherein the removing signal features further comprises at least one of implementing cancellation of QRS-waves or cancellation of T-waves from signals represented by the non-invasive electrical data.

16. The system of claim 13 , wherein the method further comprises selectively controlling the preprocessing that is performed depending on which of an atrial or ventricular arrhythmia is selected as the predefined arrhythmia in response to a user input, wherein if the user input selects the atrial arrhythmia, the preprocessing being programmed to remove signal features representing ventricular electrical activity.

17. The system of claim 1 , wherein the reconstructed electrical signals provide electrical information for over 1000 locations distributed across the cardiac envelope.

18. The system of claim 1 , wherein the converting is performed by computing an inverse solution based on geometry that is at least one of actual geometry data acquired for a given patient and a generic anatomical model.

19. The system of claim 1 , wherein the method is further programmed to compute an indication of cycle length based on the computed phase data.

20. The system of claim 1 , wherein the reconstructed electrical signals are generated for each of a multitude of points residing on the predetermined cardiac envelope, and
wherein the phase data is computed for the multitude of points based on the reconstructed electrogram signals based on geometry data.

Assignees

• Cardioinsight Technologies Inc

Inventors

• Dubois Remi
• George Brian P
• Ramanathan Charulatha
• Zeng Qingguo
• Strom Maria
• Vasudevan Venkatesh
• Bokan Ryan
• Jia Ping

Classifications

• A61B5/0036

  including treatment, e.g., using an implantable medical device, ablating, ventilating · CPC title

• A61B2017/00044

  Sensing electrocardiography, i.e. ECG · CPC title

• A61B2018/00869

  Phase · CPC title

• A61B5/7257

  using Fourier transforms · CPC title

• A61B5/6823

  Trunk, e.g., chest, back, abdomen, hip · CPC title