Electrode selection for electrical stimulation therapy

1. A method for controlling delivery of electrical stimulation therapy, the method comprising:

selecting, by one or more processors of an external programmer configured to program a device implanted in a particular patient having Parkinson's disease and based on a comparison between electrical signals in a beta band sensed from a subthalamic nucleus of a brain of the particular patient and electrical signals in the beta band sensed from subthalamic nuclei of brains of a plurality of other patients that also have Parkinson's disease, a combination of electrodes of a plurality of combinations of implantable electrodes for delivery of electrical stimulation therapy to the particular patient;

programming, by the external programmer, the device implanted in the particular patient to deliver the electrical stimulation therapy to the particular patient via the selected combination of electrodes, wherein delivery of the electrical stimulation therapy treats the particular patient for Parkinson's disease, wherein programming comprises transmitting, by the external programmer and to the device implanted in the particular patient, programming information indicative of the selected combination of electrodes; and

delivering, by the device implanted in the particular patient and to treat the Parkinson's disease of the particular patient, the electrical stimulation therapy to the subthalamic nucleus of the particular patient via the selected combination of electrodes.

2. The method of claim 1 , wherein selecting comprises selecting, by the one or more processors and based on a comparison between a representation of sensed electrical signals for a particular patient and a plurality of representations of sensed electrical signals for a plurality of other patients, the combination of electrodes.

3. The method of claim 1 , wherein each respective sensed electrical signal of the sensed electrical signals is associated with a respective combination of electrodes of the plurality of combinations of implantable electrodes selected for delivery of electrical stimulation for each respective patient of the plurality of other patients.

4. The method of claim 3 , wherein selecting the combination of electrodes comprises:

selecting, by the one or more processors and using one or more machine learning models trained based on one or more of the sensed electrical signals, the combination of electrodes for delivery of electrical stimulation to the particular patient.

5. The method of claim 4 , wherein the one or more machine learning models comprise a plurality of support vector machines (SVMs) that are each associated with a particular combination of electrodes of the plurality of combinations of electrodes, and wherein selecting the combination of electrodes comprises:

determining, for each respective SVM of the plurality of SVMs, a respective score that indicates a degree to which the sensed electrical signals for the particular patient resemble the sensed electrical signals for a plurality of patients for whom the respective combination of electrodes that is associated with the respective SVM has been therapeutically effective for delivery of electrical stimulation; and

selecting, based on the scores, the combination of electrodes to deliver electrical stimulation to the particular patient.

6. The method of claim 1 , wherein the beta band encompasses frequencies from 13 Hz to 30 Hz.

7. A system comprising:

an implantable medical device; and

a programmer device, the programmer device comprising:

a memory configured to store electrical signals in a beta band sensed from a subthalamic nucleus of a brain of a particular patient having Parkinson's disease; and

one or more processors configured to:

select, based on a comparison between the electrical signals in a beta band sensed from a subthalamic nucleus of a brain of the particular patient and electrical signals in the beta band sensed from subthalamic nuclei of brains of a plurality of other patients that also have Parkinson's disease, a combination of electrodes of a plurality of combinations of implantable electrodes for delivery of electrical stimulation therapy to the particular patient; and

program the implantable medical device implanted in the particular patient to deliver the electrical stimulation therapy to the subthalamic nucleus of the particular patient via the selected combination of electrodes, wherein, to program the implantable medical device, the one or more processors are configured to transmit, to the implantable medical device implanted in the particular patient, programming information indicative of the selected combination of electrodes, wherein the implantable medical device delivers electrical stimulation via the selected combination of electrodes to treat the particular patient for Parkinson's disease.

8. The system of claim 7 , wherein the one or more processors are configured to select the combination of electrodes based on a comparison between a representation of sensed electrical signals for a particular patient and a plurality of representations of sensed electrical signals for a plurality of other patients.

9. The system of claim 7 , wherein each respective sensed electrical signal of the sensed electrical signals is associated with a respective combination of electrodes of the plurality of combinations of electrodes selected for delivery of electrical stimulation for each respective patient of the plurality of patients.

10. The system of claim 9 , wherein, to select the combination of electrodes, the one or more processors are configured to:

select, using one or more machine learning models trained based on one or more of the sensed electrical signals, the combination of electrodes for delivery of electrical stimulation to the particular patient.

11. The system of claim 10 , wherein the one or more machine learning models comprise a plurality of support vector machines (SVMs) that are each associated with a particular combination of electrodes of the plurality of combinations of electrodes, and wherein, to select the combination of electrodes, the one or more processors is configured to:

determine, for each respective SVM of the plurality of SVMs, a respective score that indicates a degree to which the sensed electrical signals for the particular patient resembles the sensed electrical signals for a plurality of patients for whom the respective combination of electrodes that is associated with the respective SVM has been therapeutically effective for delivery of electrical stimulation; and

select, based on the scores, the combination of electrodes to deliver electrical stimulation to the particular patient.

12. A non-transitory computer-readable storage medium storing instructions that, when executed, cause one or more processors of a programmer device to:

select, based on a comparison between electrical signals in a beta band sensed from a subthalamic nucleus of a brain of a particular patient having Parkinson's disease and electrical signals in the beta band sensed from subthalamic nuclei of brains of a plurality of other patients that also have Parkinson's disease, a combination of electrodes of a plurality of combinations of implantable electrodes for delivery of electrical stimulation therapy to the particular patient; and

cause a device implanted in the particular patient to deliver the electrical stimulation therapy to the subthalamic nucleus of the particular patient via the selected combination of electrodes to treat the particular patient for Parkinson's disease, wherein the instructions that cause the one or more processors to cause the device to deliver the electrical stimulation comprise instructions that cause the one or more processors to transmit, to the device implanted in the particular patient, programming information indicative of the selected combination of electrodes.

13. The non-transitory computer-readable storage medium of claim 12 , wherein the instructions that cause the one or more processors to select comprise instructions that cause the one or more processors to select, based on a comparison between a representation of sensed electrical signals for a particular patient and a plurality of representations of sensed electrical signals for a plurality of other patients, the combination of electrodes.

14. The non-transitory computer-readable storage medium of claim 12 , wherein each respective sensed electrical signal of the sensed electrical signals is associated with a respective combination of electrodes of the plurality of combinations of electrodes selected for delivery of electrical stimulation for each respective patient of the plurality of other patients.

15. The non-transitory computer-readable storage medium of claim 14 , wherein the instructions that cause the one or more processors to select the combination of electrodes comprise instructions that cause the one or more processors to:

select, using one or more machine learning models trained based on one or more of the sensed electrical signals, the combination of electrodes for delivery of electrical stimulation to the particular patient.

16. The non-transitory computer-readable storage medium of claim 15 , wherein the one or more machine learning models comprise a plurality of support vector machines (SVMs) that are each associated with a particular combination of electrodes of the plurality of combinations of one or more electrodes, and wherein the instructions that cause the one or more processors to select the combination of electrodes comprise instructions that cause the one or more processors to:

determine, for each respective SVM of the plurality of SVMs, a respective score that indicates a degree to which the sensed electrical signals for the particular patient resembles the sensed electrical signals for a plurality of patients for whom the respective combination of electrodes that is associated with the respective SVM has been therapeutically effective for delivery of electrical stimulation; and

select, based on the scores, the combination of electrodes to deliver electrical stimulation to the particular patient.

17. A system comprising:

an implantable medical device configured to deliver electrical stimulation to a particular patient having Parkinson's disease via an active combination of electrodes; and

a programmer device configured to:

output information indicative of a combination of electrodes of a plurality of combinations of implantable electrodes selected for delivery of electrical stimulation to the particular patient, the combination of electrodes selected based on a comparison between electrical signals in a beta band sensed from a subthalamic nucleus of a brain of the particular patient and a plurality of electrical signals in the beta band sensed from subthalamic nuclei of brains of a plurality of other patients that also have Parkinson's disease; and

program the implantable medical device to set the active combination of electrodes as the selected combination of electrodes to cause the implantable medical device to deliver electrical stimulation to the subthalamic nucleus of the particular patient via the selected combination of electrodes to treat the particular patient for Parkinson's disease, wherein, to program the implantable medical device, the programmer device is configured to transmit, to the implantable medical device, programming information indicative of the selected combination of electrodes.

18. The system of claim 17 , wherein the sensed electrical signals for the particular patient comprises a representation of sensed electrical signals for a particular patient, wherein the plurality of sensed electrical signals for the plurality of other patients comprise a plurality of representations of sensed electrical signals for the plurality of other patients, and wherein the combination of electrodes is selected based on a comparison between the representation of the sensed electrical signals for the particular patient and the plurality of representations of sensed electrical signals for the plurality of other patients.

19. The system of claim 17 , wherein the implantable medical device is further configured to:

sense the electrical signals for the particular patient based on electrical signals measured across one or more combinations of electrodes of the plurality of combinations of electrodes; and

transmit the electrical signals for the particular patient to the programmer device.