Signal analysis related to treatment sites

Patent metadata

Field	Value
Publication number	US-9445737-B2
Application number	US-201514614388-A
Country	US
Kind code	B2
Filing date	Feb 4, 2015
Priority date	Feb 4, 2014
Publication date	Sep 20, 2016
Grant date	Sep 20, 2016

Abstract

A method includes storing baseline data representing at least one local or global electrical characteristics for at least a portion of a region of interest (ROI) of a patient's anatomical structure. The baseline data is determined based on electrical measurement data obtained during at least one first measurement interval. The method also includes storing in memory other data representing the at least one local or global electrical characteristics for the at least a portion of the ROI based on electrical measurement data obtained during at least one subsequent measurement interval. The method also includes evaluating the baseline data relative to the other data to determine a change in the at least one local or global electrical characteristics. The method also includes generating an output based on the evaluating to provide an indication of progress or success associated with the applying the treatment.

First claim

What is claimed is:

1. A method comprising:
storing in memory baseline data representing at least one local or global electrical characteristic for at least a portion of a region of interest (ROI) of a patient's heart, the at least one local or global electrical characteristic comprising at least one cardiac signal characteristic determined for at least one signal of interest at a given cardiac site based on cardiac electrical data for the given cardiac site, the cardiac signal characteristic comprising at least one arrhythmia mechanism that is determined for at least a portion of the ROI, the at least one arrhythmia mechanism being one of a rotor driver, a focal driver, or a fast bursting cycle length driver, the baseline data being determined based on electrical measurement data obtained during at least one first measurement interval prior to applying treatment to the patient;
storing in memory other data representing the at least one local or global electrical characteristic for the at least a portion of the ROI based on electrical measurement data obtained during at least one subsequent measurement interval that is at least one of during or after applying the treatment;
evaluating the baseline data relative to the other data to determine a change in the at least one local or global electrical characteristic, at least in part by computing a change between the cardiac signal characteristic determined for the at least one first measurement interval with respect to the cardiac signal characteristic determined for the at least one subsequent measurement interval to quantify the progress or success associated with the applying the treatment; and
generating an output based on the evaluating, including the computed change, to provide an indication of progress or success associated with the applying the treatment.

2. The method of claim 1 , wherein the at least one signal characteristic is an intracardiac signal characteristic measured invasively from a probe or catheter placed inside or outside the heart or measured non-invasively from body surface electrodes and reconstructed onto the heart.

3. The method of claim 1 , further comprising analyzing the cardiac electrical data for the given cardiac site to determine the cardiac signal characteristic to include at least one of a cycle length, cycle length variation, percentage of continuous activation and fractionation determined for each of the at least one first measurement interval and the at least one subsequent measurement interval.

4. The method of claim 1 , further comprising analyzing invasive electrical data for the signal of interest to determine the cardiac signal characteristic for the first measurement interval.

5. The method of claim 1 , wherein the at least one other measurement interval comprises a real time measurement that varies over time, the output varying dynamically to represent the determined electrical signal characteristic of at least one signal of interest based on the real time measurement.

6. The method of claim 1 , wherein the evaluating further comprises comparing the computed change relative to a threshold to quantify the progress or success associated with the applying the treatment.

7. The method of claim 6 , further comprising setting the threshold based on at least one arrhythmia mechanism that is determined for the at least a portion of the ROI.

8. The method of claim 7 , wherein the at least one arrhythmia mechanism has been identified within a respective zone of interest on a cardiac surface in which the given cardiac site is located, the least one arrhythmia mechanism being determined for the at least a portion of the ROI based on non-invasive electrical data.

9. The method of claim 7 , wherein the cardiac signal characteristic is an intracardiac signal characteristic measured invasively from a probe or catheter placed inside or outside the heart.

10. The method of claim 1 , further comprising tagging, by a tagging system comprising a graphical user interface (GUI), one or more treatment sites to provide a visual representation of the indication of progress or success associated with the treatment.

11. The method of claim 1 , wherein the treatment comprises at least one of administration of medicine, application of electrical stimulus to the heart, ablation at a given site, application of chemical stimulus to the given site.

12. The method of claim 1 , further comprising:
providing a graphical user interface element at a location on a graphical map corresponding to a given site on a representation of a surface geometry in response to the treatment; and
in response to detecting the change, automatically or in response to a user input, modifying a graphical feature of the graphical user interface element to represent the change on the graphical map.

13. A method comprising:
storing in memory baseline data representing at least one local or global electrical characteristic for at least a portion of a region of interest (ROI) of a patient's anatomical structure, the at least one local or global electrical characteristic comprising at least one arrhythmia mechanism determined for the at least a portion of the ROI based on non-invasive electrical data, the baseline data being determined based on electrical measurement data obtained during at least one first measurement interval prior to applying treatment to the patient;
storing in memory other data representing the at least one local or global electrical characteristic for the at least a portion of the ROI based on electrical measurement data obtained during at least one subsequent measurement interval that is at least one of during or after applying the treatment;
setting a threshold based on at least one at least one mechanism of distinct arrhythmogenic electrical activity that is determined for the at least a portion of the ROI;
evaluating the baseline data relative to the other data to determine a change in the at least one local or global electrical characteristic, at least in part by computing a difference between the at least one arrhythmia mechanism determined for the at least one first measurement interval with respect to the at least one arrhythmia mechanism determined for the at least one subsequent measurement interval, and further by comparing the indication of the computed difference relative to the threshold to quantify the progress or success associated with the applying the treatment; and
generating an output based on the evaluating to provide an indication of progress or success associated with the applying the treatment, the output including an indication of the computed difference.

14. The method of claim 13 , wherein the at least one local or global electrical characteristic further comprises an intracardiac signal directly measured invasively at a given site for the at least one first measurement interval and for the at least one subsequent measurement interval.

15. The method of claim 13 , wherein the at least one arrhythmia mechanism comprises at least one of rotor drivers that occur within the at least one time interval, focal drivers that occur within the at least one time interval, or fast bursting cycle length drivers based on the non-invasive electrical data obtained for the at least one first measurement interval and for the at least one subsequent measurement interval.

16. A system comprising:
memory to store baseline data representing at least one local or global electrical characteristic for at least a portion of a region of interest (ROI) of a patient's anatomical structure, the at least one local or global electrical characteristic comprisi

Assignees

• Cardioinsight Technologies Inc

Inventors

• Bokan Ryan
• Ramanathan Charulatha
• Jia Ping
• Strom Maria

Classifications

• A61N1/3629

  in combination with non-electric therapy · CPC title

• A61B2018/00577

  Ablation · CPC title

• A61B5/742

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

• A61B5/4839

  combined with drug delivery · CPC title

• A61B5/6858

  with a distal basket, e.g. expandable basket · CPC title