Systems and methods for deep brain stimulation using kinematic feedback for treatment of movement disorders

A deep brain stimulation system, comprising:

• an implantable neurostimulator;
• a first inertial measurement unit (IMU);
• a second IMU;
• and
• a controller, where the controller is communicatively coupled to the implantable neurostimulator, the first IMU, and the second IMU, and where the controller is configured to
• obtain kinematic data from the first IMU and the second IMU;
• predict a likelihood of a freezing of gait (FoG) event based on the kinematic data;
• and
• modify deep brain stimulation provided by the implantable neurostimulator based on the predicted likelihood, wherein the modification comprises:
• decreasing stimulation intensity when the predicted likelihood is below a minimum threshold;
• maintaining stimulation intensity when the predicted likelihood is between the minimum threshold and a maximum threshold;
• and
• increasing stimulation intensity when the predicted likelihood is above the maximum threshold.