Method and system for measuring electrogram fractionation
A method for quantifying a metric indicative of a condition of cardiac tissue in an electrogram is disclosed. The method includes detecting extrema in the electrogram, analyzing the detected extrema, selecting certain extrema based on a threshold and generating a fractionation metric including a count of the selected extrema.
1. A method for quantifying a metric indicative of a condition of cardiac tissue in an electrogram, comprising:
receiving, using a mapping system, electrogram data from one or more electrodes;
processing, using one or more processors, the electrogram data to obtain a noise threshold level in a portion of an electrogram before a depolarization wave, based on a maximum noise level and a minimum noise level of a second derivative of the electrogram, wherein the maximum noise level and the minimum noise level are calculated from the second derivative of the electrogram, and wherein the noise threshold level of a difference of the maximum noise level and the minimum noise level multiplied by a safety factor;
identifying, using the one or more processors, extrema of the electrogram that exceed the obtained noise threshold level; and
generating, using the one or more processors, a fractionation metric comprising a count of the identified extrema;
displaying, using a graphical user interface, the fractionation metric mapped to at least a corresponding anatomical location.
2. The method of claim 1 , further comprising:
sensing, using the one or more electrodes, the electrogram of a subject.
3. The method of claim 2 , further comprising:
removing, using the one or more processors, noise of the electrogram to an acceptable noise level using a noise filter, wherein the acceptable noise level is within the noise threshold level.
4. The method of claim 2 , further comprising:
providing, using the one or more processors, the graphical user interface depicting electrical activation times obtained using the one or more electrodes on a display device.
5. The method of claim 1 , further comprising:
generating an activation map indicating the fractionation metric for the cardiac tissue.
6. The method of claim 1 , wherein the fractionation metric is indicative of the condition of the cardiac tissue as normal or abnormal.
7. The method of claim 1 , wherein selecting the extrema comprises detecting the extrema in the portion of the electrogram corresponding to the depolarization wave.
8. A system to quantify a metric indicative of a condition of cardiac tissue in an electrogram, comprising:
one or more processors coupled to a non-transitory computer readable memory programmed with executable instructions to:
receive, using a mapping system, electrogram data from one or more electrodes;
process the electrogram data to obtain a noise threshold level in a portion of an electrogram before a depolarization wave, based on a maximum noise level and a minimum noise level of a second derivative of the electrogram, wherein the maximum noise level and the minimum noise level are calculated from the second derivative of the electrogram, and wherein the noise threshold level of a difference of the maximum noise level and the minimum noise level multiplied by a safety factor;
identify extrema of the electrogram that exceeds the obtained noise threshold level;
generate a fractionation metric comprising a count of the identified extrema; and
display, using a graphical user interface, the fractionation metric mapped to a latest a corresponding anatomical location.
9. The system of claim 8 , further comprising:
the one or more electrodes configured to sense the electrogram of a subject.
10. The system of claim 9 , wherein the one or more processors is further programmed to remove noise of the electrogram to an acceptable noise level using a noise filter, wherein the acceptable noise level is within the noise threshold level.
11. The system of claim 9 , wherein the one or more processors is further programmed to provide the graphical user interface depicting electrical activation times obtained using the one or more electrodes on a display device.
12. The system of claim 8 , wherein the one or more processors is further programmed to generate an activation map indicating the fractionation metric for the cardiac tissue.
13. The system of claim 8 , wherein the fractionation metric is indicative of the condition of the cardiac tissue as normal or abnormal.
14. The system of claim 8 , wherein selecting the extrema comprises detecting the extrema in a portion of the electrogram corresponding to the depolarization wave.
15. A non-transitory computer readable storage medium, having stored thereon, a set of computer-executable instructions that causes a computer to perform a method comprising:
receiving, using a mapping system, electrogram data from one or more electrodes;
processing the electrogram data to obtain a noise threshold level in a portion of an electrogram before a depolarization wave, based on a maximum noise level and a minimum noise level of a second derivative of the electrogram, wherein the maximum noise level and the minimum noise level are calculated from the second derivative of the electrogram, and wherein the noise threshold level of a difference of the maximum noise level and the minimum noise level multiplied by a safety factor;
identifying extrema of the electrogram that exceed the obtained noise threshold level;
generating a fractionation metric comprising a count of the identified extrema; and
displaying, using a graphical user interface, the fractionation metric mapped to at least a corresponding anatomical location.
16. The non-transitory computer readable storage medium of claim 15 , further comprising:
receiving the electrogram of a subject sensed using the one or more electrodes.
17. The non-transitory computer readable storage medium of claim 16 , further comprising:
removing, using one or more processors, noise of the electrogram to an acceptable noise level using a noise filter.
18. The non-transitory computer readable storage medium of claim 15 , further comprising:
generating an activation map indicating the fractionation metric for a cardiac tissue.
19. The non-transitory computer readable storage medium of claim 15 , wherein selecting the extrema comprises detecting the extrema in the portion of the electrogram corresponding to the depolarization wave.
20. The non-transitory computer readable storage medium of claim 15 , wherein the fractionation metric is indicative of a condition of cardiac tissue as normal or abnormal.