Method for adaptive control of a medical device using Bayesian optimization

An adaptive controller for controlling a controllable medical device, comprising:

• an input that receives feedback data representative of a treatment response or effect in a subject;
• a processor in communication with the input and programmed to:
• receive the feedback data from the input and generate a posterior distribution therefrom;
• estimate an acquisition function from the posterior distribution;
• and
• generate updated control parameter settings based on the acquisition function;
• a memory in communication with the input and the processor, wherein the memory stores instructions for generating updated control parameter settings, the feedback data received from the input, and the updated control parameter settings generated by the processor;
• an output that communicates the updated control parameter settings to a controllable medical device comprising an electrical stimulation device having a pulse generator and at least one electrode in communication with the pulse generator;
• wherein the processor is programmed to generate a response surface based on the feedback data using a probit function;
• wherein the feedback data comprise user preferences between two different control parameter settings;
• wherein the posterior distribution is generated using the response surface generated based on the feedback data using the probit function;
• and
• wherein the processor receives control signals generated based on the updated control parameters settings and sends the controls signals to the pulse generator of the controllable medical device by the output;
• and
• wherein the pulse generator of the controllable medical device receives the control signals from the output and in response thereto generates electrical signals and sends the electrical signals to the at least one electrode of the controllable medical device to generate an electrical stimulation based on the updated control parameter settings.