Methods, systems and media for reconstructing bioelectronic lead placement

1. A system for reconstructing bioelectronic lead placement, comprising:

a processor configured to:

receive electrophysiology (EP) signals from a plurality of electrodes, the plurality of electrodes having been positioned on a patient's body for collection of the EP signals;

determine biological signaling time latencies between the EP signals from one or more pairs of the plurality of electrodes over one or more sampling time periods;

generate a weighted graph of the plurality of electrodes based on the biological signaling time latencies;

determine, based on the weighted graph and known positions, scales, or orientations of electrodes, that one or more of the plurality of electrodes on the patient are misplaced so as to yield an incorrect reading; and

correct a misplacement of the plurality of electrodes based on the determination that the one or more of the plurality of electrodes on the patient are misplaced.

2. The system of claim 1 , wherein the plurality of electrodes includes surface electrodes configured to collect surface electrocardiogram (SECG) signals.

3. The system of claim 1 , wherein the plurality of electrodes includes intracardiac electrodes configured to collect intracardiac electrocardiogram (IECG) signals.

4. The system of claim 1 , wherein to generate the weighted graph, the processor is further configured to fit the biological signaling time latencies to the weighted graph using a fitting function, wherein the plurality of electrodes are nodes in the weighted graph and the biological signaling time latencies are edges in the weighted graph.

5. The system of claim 4 , wherein the fitting function is a Fruchterman-Reingold optimization method, and the processor is further configured to fit the biological signaling time latencies to the weighted graph in a two or three dimensional embedded space using the fitting function.

6. The system of claim 1 , wherein the processor is further configured to determine a classification of a patient condition based on the correction of the misplacement of the plurality of electrodes.

7. The system of claim 1 , wherein to correct the misplacement of the plurality of electrodes, the processor is further configured to correct a misplacement of at least one of two electrodes of the plurality of electrodes to fix a vector orientation between the two electrodes.

8. The system of claim 7 , wherein to correct the misplacement of the plurality of electrodes, the processor is further configured to indicate a change in placement of one or more electrodes in the plurality of electrodes.

9. The system of claim 1 , wherein the processor is further configured to determine the sampling time period based on a type and a location of each electrode in the plurality of electrodes.

10. The system of claim 1 , wherein to determine the biological signaling time latencies between the EP signals from the one or more pairs of the plurality of electrodes, the processor is further configured to determine the biological signaling time latencies between the EP signals based on cross-correlations between each pair of EP signals.

11. A method for reconstructing bioelectronic lead placement, comprising:

acquiring electrophysiology (EP) signals collected from a plurality of electrodes, the plurality of electrodes having been positioned on a patient's body for collection of the EP signals;

determining biological signaling time latencies between the EP signals from one or more pairs of the plurality of electrodes over one or more sampling time periods;

generating a weighted graph of the plurality of electrodes based on the biological signaling time latencies;

determining, based on the weighted graph and known positions, scales, or orientations of electrodes, that one or more of the plurality of electrodes on the patient are misplaced so as to yield an incorrect reading; and

correct a misplacement of the plurality of electrodes based on the determining that the one or more of the plurality of electrodes on the patient are misplaced.

12. The method of claim 11 , wherein:

the acquiring of the EP signals comprises acquiring surface electrocardiogram (SECG) signals; and

the plurality of electrodes includes surface electrodes.

13. The method of claim 11 , wherein:

the acquiring of the EP signals comprises acquiring intracardiac electrocardiogram (IECG) signals; and

the plurality of electrodes includes intracardiac electrodes.

14. The method of claim 11 , wherein the generating the weighted graph comprises:

fitting the biological signaling time latencies to the weighted graph using a fitting function, wherein the plurality of electrodes are nodes in the weighted graph and the biological signaling time latencies are edges in the weighted graph.

15. The method of claim 14 , wherein the fitting function is a Fruchterman-Reingold optimization method, and further comprises:

fitting the biological signaling time latencies to the weighted graph in a two or three dimensional embedded space using the fitting function.

16. The method of claim 11 , further comprising:

determining a classification of a patient condition based on the correcting of the misplacement of the plurality of electrodes.

17. The method of claim 11 , wherein the correcting the misplacement of the plurality of electrodes comprises:

correcting a misplacement of at least one of two electrodes in the plurality of electrodes to fix a vector orientation between the two electrodes.

18. The method of claim 11 , wherein the correcting the misplacement of the plurality of electrodes comprises:

indicating a change in placement of one or more electrodes in the plurality of electrodes.

19. The method of claim 11 , further comprising:

determining the sampling time period based on a type and a location of each electrode in the plurality of electrodes.

20. The method of claim 11 , wherein the determining the biological signaling time latencies between the EP signals from the one or more pairs of the plurality of electrodes comprises:

determining the biological signaling time latencies between the EP signals based on cross-correlations between each pair of EP signals.

21. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a hardware processor, cause the hardware processor to perform a method for reconstructing bioelectronic lead placement, the method comprising:

acquiring electrophysiology (EP) signals collected from a plurality of electrodes, the plurality of electrodes having been positioned on a patient's body for collection of the EP signals;

determining biological signaling time latencies between the EP signals from one or more pairs of the plurality of electrodes over one or more sampling time periods;

generating a weighted graph of the plurality of electrodes based on the biological signaling time latencies;

determining, based on the weighted graph and known positions, scales, or orientations of electrodes, that one or more of the plurality of electrodes on the patient are misplaced so as to yield an incorrect reading; and

correct a misplacement of the plurality of electrodes based on the determining that the one or more of the plurality of electrodes on the patient are misplaced.

22. The non-transitory computer-readable medium of claim 14 , wherein:

the acquiring of the EP signals comprises acquiring surface electrocardiogram (SECG) signals; and

the plurality of electrodes includes surface electrodes.

23. The non-transitory computer-readable medium of claim 14 , wherein:

the acquiring of the EP signals comprises acquiring intracardiac electrocardiogram (IECG) signals; and

the plurality of electrodes includes intracardiac electrodes.

24. The non-transitory computer-readable medium of claim 21 , wherein the generating the weighted graph comprises:

fitting the biological signaling time latencies to the weighted graph using a fitting function, wherein the plurality of electrodes are nodes in the weighted graph and the biological signaling time latencies are edges in the weighted graph.

25. The non-transitory computer-readable medium of claim 24 , wherein the fitting function is a Fruchterman-Reingold optimization method, and further comprises:

fitting the biological signaling time latencies to the weighted graph in a two or three dimensional embedded space using the fitting function.

26. The non-transitory computer-readable medium of claim 21 , wherein the method further comprises:

determining a classification of a patient condition based on the correcting of the misplacement of the plurality of electrodes.

27. The non-transitory computer-readable medium of claim 21 , wherein the correcting the misplacement of the plurality of electrodes comprises:

correcting a misplacement of at least one of two electrodes in the plurality of electrodes to fix a vector orientation between the two electrodes.

28. The non-transitory computer-readable medium of claim 21 , wherein the correcting the misplacement of the plurality of electrodes comprises:

indicating a change in placement of one or more electrodes in the plurality of electrodes.

29. The non-transitory computer-readable medium of claim 21 , wherein the method further comprises:

determining the sampling time period based on a type and a location of each electrode in the plurality of electrodes.

30. The non-transitory computer-readable medium of claim 21 , wherein the determining the biological signaling time latencies between the EP signals from the one or more pairs of the plurality of electrodes comprises:

determining the biological signaling time latencies between the EP signals based on cross-correlations between each pair of EP signals.