Patent Forecast

1. A method performed by one or more computing systems for identifying a potential ablation pattern for an electromagnetic (“EM”) source of a patient, the method comprising: (7) (4)

accessing a patient EM output of the EM source;

identifying non-ablation pattern information of a non-ablation pattern simulation, the non-ablation pattern information being identified based on similarity of simulated EM output of the non-ablation pattern simulation to the patient EM output;

identifying an ablation pattern based on similarity of non-ablation pattern information to ablation pattern information associated with an ablation pattern simulation; and

outputting an indication of the identified ablation pattern as the potential ablation pattern for the EM source of the patient.

2. The method of claim 1 wherein the EM source is a heart and the potential ablation pattern is for treating an arrhythmia of the patient. (0)

3. The method of claim 1 wherein the similarity is based on a mapping of mapping information associated with the non-ablation pattern simulation to the identified ablation pattern. (3) (0)

7. The method of claim 1 wherein the non-ablation pattern information includes a non-ablation pattern source configuration of the non-ablation pattern simulation and the ablation pattern information includes an ablation pattern source configuration of the ablation pattern simulation. (0)

8. The method of claim 1 wherein the indication of the identified ablation pattern is output to an ablation device. (1) (0)

10. The method of claim 1 wherein the indication of the identified ablation pattern is displayed. (1) (0)

12. The method of claim 1 wherein the image is based on an anatomical parameter collected as part of an ablation procedure. (0)

13. The method of claim 1 further comprising identifying the non-ablation pattern simulation from a calibrated collection of simulations. (0)

14. A method performed by one or more computing systems for generating a mapping function to map patient information of a patient to an ablation pattern for treating arrhythmia of the patient, the method comprising: (1) (3)

accessing ablation pattern simulations, each ablation pattern simulation generated based on a simulated source configuration and an ablation pattern, the simulated source configuration including a simulated source location;

for each ablation pattern simulation, generating a simulated feature vector that includes features based on the simulated source configuration but not based on the simulated source location and a feature based on a simulated cardiogram generated from a non-ablation pattern simulation based on the simulated source configuration but not based on an ablation pattern; and

labeling the simulated feature vector with the simulated source location and the ablation pattern of that ablation pattern simulation; and

training a classifier using the feature vectors and labels as training data.

15. The method of claim 14 further comprising: (1) (2)

generating a patient feature vector with features based on a patient source configuration of the patient but not based on a source location and a feature based on a patient cardiogram of the patient; and

applying the classifier to the patient feature vector to identify a source location and an ablation pattern for treating the patient.

16. The method of claim 15 further comprising outputting an indication of the identified source location and the identified ablation pattern for treating the patient. (1) (0)

18. One or more computing systems for identifying an ablation pattern for a heart of a patient, the computing system comprising: (5) (2)

one or more computer-readable storage mediums storing computer-executable instructions that when executed control the one or more computing systems to: identify a simulated cardiogram generated from a non-ablation pattern simulation of a model library of non-ablation pattern simulations, each non-ablation pattern simulation generated based on a computational model of the heart and a heart configuration that includes a simulated source location;

identify an ablation pattern and a simulated source location associated with the simulated cardiogram, the ablation pattern associated with an ablation pattern simulation generated based on a computational model of the heart, based on a heart configuration that includes a source location, and based on the identified ablation pattern, the identified ablation pattern identified based on a mapping of the identified simulated cardiogram to the identified ablation pattern; and

direct an ablation therapy for the patient based on the identified simulated source location and the identified ablation pattern; and

one or more processors for executing the computer-executable instructions stored in the one or more computer-readable storage mediums.

19. The one or more computing systems of claim 18 wherein the ablation therapy is for treating an arrhythmia. (0)

20. The one or more computing systems of claim 18 wherein the computer-executable instructions to direct an ablation therapy output to an ablation device an indication of the identified simulated source location and the identified ablation pattern. (2) (0)

23. The one or more computing systems of claim 18 wherein the computer-executable instructions to direct an ablation therapy display an indication of the identified simulated source location of the heart configuration and the identified ablation pattern. (0)

24. The one or more computing systems of claim 18 wherein the computer-executable instructions to identify an ablation pattern identify multiple ablation patterns and the instructions to direct an ablation therapy output an indication of the identified simulated source location and the identified ablation patterns. (0)

25. The one or more computing systems of claim 18 wherein the heart configuration includes an anatomical parameter derived from an image of the patient collected as part of the ablation therapy. (0)

26. A method of treating a heart of a patient, comprising: (4) (3)

identifying a source location within the heart of the patient and an ablation pattern, the identifying based on ablation pattern simulations, each ablation pattern simulation based on a rotor location and an ablation pattern wherein the identifying is based on a patient cardiogram of the patient;

positioning a neuromodulation device at a target site of the heart based on the identified rotor location; and

applying energy based on the identified ablation pattern to the target site of the heart using the neuromodulation device.

27. The method of claim 26 wherein the neuromodulation device is an ablation catheter and applying energy to the target site comprises applying radiofrequency energy that ablates neural or myocardial structures at the target site. (0)

28. The method of claim 26 wherein the neuromodulation device is a cryoablation catheter and applying energy to the target site comprises applying cooling energy that cryoablates neural or myocardial structures at the target site. (0)

29. The method of claim 26 wherein the neuromodulation device comprises an implantable pulse generator and applying energy to the target site comprises applying electrical energy to neural or myocardial structures at the target site. (0)

30. The method of claim 26 wherein the neuromodulation device comprises a stereotactic body radiation therapy device and applying energy to the target site comprises applying radiation to neural or myocardial structures at the target site. (0)

31. A method of treating a patient, comprising: (4) (3)

identifying a source location of an arrhythmia within the heart of the patient and an ablation pattern by directing a computing system to: identify a simulated cardiogram that is similar to a patient cardiogram of the patient, the simulated cardiogram generated from a non-ablation pattern simulation of a model library of non-ablation pattern simulations, each non-ablation pattern simulation generated based on a computational model of the heart and a simulated heart configuration that includes a simulated source location, each heart configuration of a simulation mapped to a simulated cardiogram generated based on the simulation; and

identify a simulated source location and an ablation pattern based on the identified simulated cardiogram, the simulated source location and the ablation pattern used in generating an ablation pattern simulation, the ablation pattern simulation generated based on the computational model of the heart, based on the heart configuration that includes the simulated source location, and based on the ablation pattern;

positioning a neuromodulation device at a target site based on the identified simulated source location; and

applying energy based on the identified ablation pattern using the positioned neuromodulation device.

32. The method of claim 31 wherein the neuromodulation device is a stereotactic body radiation therapy device. (2) (0)

35. The method of claim 31 wherein the neuromodulation device is an ablation catheter and applying energy comprises applying radiofrequency energy that ablates neural or myocardial structures at the target site. (0)

36. The method of claim 31 wherein the neuromodulation device is a cryoablation catheter and applying energy comprises applying cooling energy that cryoablates neural or myocardial structures at the target site. (0)

37. The method of claim 31 wherein the neuromodulation device comprises an implantable pulse generator and applying energy comprises applying electrical energy to neural or myocardial structures at the target site. (0)

38. A method of treating a patient, comprising: (0) (3)

identifying a source location of an arrhythmia within the heart of the patient by directing a computing system to: identify a simulated cardiogram that is similar to a patient cardiogram of the patient, the simulated cardiogram generated from a simulation of a model library of simulations, each simulation generated based on a computational model of the heart and a simulated heart configuration that includes a simulated source location, each heart configuration of a simulation mapped to a simulated cardiogram generated based on that simulation; and

identify a simulated source location of a simulated heart configuration used in generating the simulation from which the identified simulated cardiogram was generated;

positioning a neuromodulation device at a target site based on the identified simulated source location; and

applying energy to the target site using the positioned neuromodulation device.

Application US20190328457

IDENTIFY ABLATION PATTERN FOR USE IN AN ABLATION

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