Signal characterization to facilitate therapy delivery

Patent metadata

Field	Value
Publication number	US-10426401-B2
Application number	US-201514839299-A
Country	US
Kind code	B2
Filing date	Aug 28, 2015
Priority date	Aug 29, 2014
Publication date	Oct 1, 2019
Grant date	Oct 1, 2019

Abstract

An example method includes receiving monitoring data representing one or more substantially real time electrical signals based on measurements from one or more respective electrodes. The method also includes selecting at least one signal of interest (SOI) from the monitoring data, each selected SOI being associated with a respective anatomical location and storing SOI data in memory corresponding to each selected SOI. The method also includes quantifying changes between signal characteristics of real time signals acquired for one or more respective anatomical locations and the at least one SOI that is associated with each of the respective anatomical locations. An output can be generated based on the quantifying to characterize spatially local signal changes with respect to each of the respective anatomical locations.

First claim

What is claimed is:

1. A method comprising:
receiving electrophysiological monitoring data representing one or more substantially real time electrical signals based on measurements from one or more respective electrodes;
selecting at least one subset time interval of the electrophysiological monitoring data as a signal of interest (SOI) either in response to a SOI selection user input entered via a user input device, or based on user-programmed selection data defining one or more anatomical landmarks or predefined anatomical regions;
storing in memory SOI data corresponding to each selected SOI, the SOI data including location data identifying a respective spatial location for each selected SOI in relation to anatomical geometry and that programmatically links each selected SOI to a respective anatomical location;
based on the stored SOI data including the location data, quantifying changes between signal characteristics of real time signals acquired during or in response to delivery of a therapy to a patient for one or more respective anatomical locations and the at least one SOI that is associated with each of the respective anatomical locations; and
generating an output based on the quantifying to characterize spatially local signal changes with respect to each of the respective anatomical locations, the output providing an indication of parameters and/or endpoint for delivery of the therapy to the patient based on the spatially local signal changes.

2. The method of claim 1 , wherein the SOI data for each SOI further comprises:
time data identifying a corresponding time interval; and
values of one or more signal characteristics computed for the respective SOI.

3. The method of claim 1 , further comprising:
navigating a therapy delivery device to a target anatomical location defined by the location data for a given SOI; and
delivering a therapy at the target anatomical location, corresponding to the given SOI, based on the quantified changes between the real time signals for the target anatomical location and the given SOI associated with the target anatomical location.

4. The method of claim 3 , wherein the quantifying changes is computed over a given time interval from the SOI data for at least one other anatomical location and in response to delivering the therapy at the target anatomical location.

5. The method of claim 1 , further comprising:
navigating a therapy delivery device to a target anatomical location defined by the location data for a given SOI; and
delivering a therapy at the target anatomical location based on the quantifying of changes for the signal characteristics of at least one other anatomical location that is spaced apart from the target anatomical location associated with the given SOI.

6. The method of claim 5 , wherein the output provides the indication of the endpoint for the delivery of the therapy, which endpoint is based on the quantifying of the changes computed over a given time interval from the SOI data for the at least one other anatomical location and in response to delivering the therapy at the target anatomical location.

7. The method of claim 1 , further comprising:
analyzing the SOI data for a plurality of anatomical locations in a region of the patient's heart to compute a score for each of the SOIs; and
ranking each of the SOIs based on its associated score to classify a subset of the SOIs within the region as high priority SOIs and to classify at least another subset of the plurality of anatomical locations in the region as low priority SOIs.

8. The method of claim 7 , wherein generating the output further comprises generating a graphical map of the region that differentiates between the high priority SOIs and the low priority SOIs.

9. The method of claim 7 , further comprising computing the values of the one or more signal characteristics to include at least two of the group consisting essentially of a cycle length, an indication of disorganization, an indication of fractionation and a percentage of activation for each SOI and each of the one or more real time signals.

10. The method of claim 7 , wherein the score comprises a weighted score that is computed for each of the SOIs based on the values of the one or more signal characteristics.

11. The method of claim 1 , wherein generating the output further comprises providing an indication of the values computed for the at least one SOI displayed in a portion of a visualization space adjacent a visualization of the respective SOI and a visualization of the one or more real time signals.

12. The method of claim 1 , wherein the monitoring data from which the at least one SOI is selected comprises electrical signals obtained from a set of non-invasive electrodes positioned outside of the patient's body, and
wherein another part of the monitoring data, corresponding to the real time signals acquired for the one or more respective anatomical locations, comprises electrical signals measured from at least one electrode positioned invasively within the patient's body.

13. The method of claim 1 , wherein the monitoring data comprises data obtained from a common set of electrodes positioned either inside or outside of the patient's body.

14. The method of claim 1 , wherein the selecting the at least one SOI comprises selecting the at least one SOI in response to the SOI selection user input entered via a user input device.

15. The method of claim 2 , wherein the SOI data for each SOI further comprises metadata, the metadata comprising data identifying at least one time segment of the SOI programmatically linked to a respective predefined anatomic location,
wherein each respective predefined anatomic location is programmable in response to user input or is set based on a user profile specifying the respective predefined anatomical location.

16. A system, comprising:
non-transitory memory configured to store executable instructions and data, the data including electrophysiological monitoring data representing one or more substantially real time electrical signals based on measurements from one or more respective electrodes;
a processor configured to access the memory and execute the instructions, the instructions comprising:
selecting at least one subset time interval of the electrophysiological monitoring data as a signal of interest (SOI) either in response to a SOI selection user input entered via a user input device, or based on user-programmed selection data defining one or more anatomical landmarks or predefined anatomical regions, to store SOI data in the memory for each selected SOI, the SOI data including location data identifying a respective spatial location for each selected SOI in relation to anatomical geometry and that programmatically links each selected SOI to a respective anatomical location;
computing signal characteristics for each of the SOIs based on the stored SOI data including the location data and for real time signals acquired during or in response to delivery of a therapy to a patient for one or more respective anatomical locations;
providing analysis data that quantifies changes in the computed signal characteristics; and
generating an output based on the quantifying to provide an indication of parameters and/or endpoint for delivery of the therapy to the patient based on the analysis data quantifying changes in the computed signal characteristics.

17. The system of claim 16 , wherein the computing signal characteristics comprises:
computing values of one or more signal characteristics for each the SOIs based on the stored SOI data and for eac

Assignees

• Cardioinsight Technologies Inc

Inventors

• Bokan Ryan
• Ramanathan Charulatha
• Jia Ping
• Stone Meredith E

Classifications

• A61B5/4836 Primary

  Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence) · CPC title

• G16H40/63

  for local operation · CPC title

• A61B5/7425

  Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image · CPC title

• A61B5/743

  Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots · CPC title

• A61B5/04012

  Human Necessities · mapped topic