Automated deep brain stimulation system tuning

A method for controlling a deep brain stimulation system, the method comprising:

• receiving internal sensor data for a group of internal parameters that relate to an operation of the deep brain stimulation system, wherein the internal sensor data is generated by an internal sensor system;
• receiving external sensor data for a group of external parameters for an environment around the deep brain stimulation system, wherein the external sensor data is generated by an external sensor system, and wherein the environment around the deep brain stimulation system includes a patient and an environment around the patient;
• send the internal sensor data and the external sensor data to a data storage system comprising at least one of a storage repository, a data lake, or a data warehouse;
• aggregating, with an artificial intelligence aggregator, the internal data for the group of internal parameters and from the external data for the group of external parameters received from deep brain stimulation systems of a same class as the deep brain stimulation system in the storage system;
• analyzing the internal sensor data and the external sensor data with the aggregated internal sensor data and aggregated external sensor data for deep brain stimulation systems of the same class as the deep brain stimulation system to generate results;
• and
• controlling an operation of the deep brain stimulation system based on the results.

A method for controlling a deep brain stimulation system, the method comprising:

• receiving internal sensor data for a group of internal parameters generated by an internal sensor system connected to a deep brain stimulation system, wherein the internal sensor system senses a group of internal parameters within the deep brain stimulation system;
• receiving external sensor data for a group of external parameters generated by an external sensor system that senses the group of external parameters in a patient in which the deep brain stimulation system is located and an environment around the patient;
• send the internal sensor data and the external sensor data to a data storage system comprising at least one of a storage repository, a data lake, or a data warehouse;
• aggregating, with an artificial intelligence aggregator, the internal data for the group of internal parameters and from the external data for the group of external parameters received from deep brain stimulation systems of a same class as the deep brain stimulation system in the storage system;
• sending at least one of the internal sensor data, the external sensor, data, or settings for the deep brain stimulation system to an analyzer that analyzes the internal sensor data and the external sensor data with aggregated internal sensor data and aggregated external sensor data for deep brain stimulation systems of a same class as the deep brain stimulation system to generate results;
• and
• controlling an operation of the deep brain stimulation system based on the results.