US 12,415,076 B1
Multidisciplinary design optimization of neuromodulation systems
Robert LeMoyne, Running Springs, CA (US); and Timothy Mastroianni, Pittsburgh, PA (US)
Filed by Robert LeMoyne, Running Springs, CA (US); and Timothy Mastroianni, Pittsburgh, PA (US)
Filed on Jul. 12, 2022, as Appl. No. 17/863,245.
Claims priority of provisional application 63/221,438, filed on Jul. 13, 2021.
Int. Cl. A61N 1/36 (2006.01); G16H 50/20 (2018.01)
CPC A61N 1/36139 (2013.01) [A61N 1/36067 (2013.01); G16H 50/20 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A system for deep brain stimulation (“DBS”) for achieving an optimal deep brain stimulation parameter configuration for treating a movement disorder, the system comprising:
a) a wearable inertial sensor system with wireless access to a cloud computing resource, the wearable inertial sensor system configured to provide quantified feedback of a response to neuromodulation intervention that contributes to a computation of a multidisciplinary design optimization dependent variable; and
b) a computer system equipped with a machine learning algorithm to diagnose a need to activate a multidisciplinary design optimization process when a classification accuracy, defined as correctly classified instances divided by total number of instances, proceeds below a prescribed threshold,
c) wherein the computer system equipped with a multidisciplinary design optimization algorithm is configured to apply the multidisciplinary design optimization process to achieve an optimized dependent variable based on independent variables available from a deep brain stimulation parameter configuration,
d) wherein the computer system is configured to control an implantable pulse generator and deliver a signal based on the optimized dependent variable for deep brain stimulation.