Parkinson's motor symptoms correlate strongly with pathological oscillations in the 13-30 Hz beta band within the subthalamic nucleus. Delivering stimulation exclusively during elevated beta bursts improves bradykinesia while reducing speech impairment side effects. This research presents clinical trials of an autonomous adaptive algorithm.
Fast Fourier Transforms are computationally prohibitive on implantable microcontrollers. Narrowband recursive IIR filters paired with peak envelope detectors compute instantaneous beta power in less than 4 milliseconds.
Adaptive stimulation achieved equivalent clinical Unified Parkinson's Disease Rating Scale (UPDRS) scores to continuous stimulation while reducing total electrical energy delivered to tissue by 52%.