An optimization framework for targeted spinal cord stimulation.

We developed an optimization framework for targeted SCS. Our method is analytic, which allows for the fast calculation of optimal solutions. For the first time, we provided a multi-objective approach for selective SCS. Through this approach, we were able to show that novel configurations can provide neural recruitment profiles that are not possible with conventional stimulation configurations (e.g., bipolar stimulation). Most importantly, once integrated with computational models that account for sources of interpatient variability (e.g., anatomy, electrode placement), our optimization framework can be utilized to provide stimulation settings tailored to the needs of individual patients.