Abstract: The present disclosure provides systems and methods relating to neuromodulation. In particular, the present disclosure provides systems and methods for selective and/or unidirectional nerve fiber conduction block though the application of a hybrid waveform using a neuromodulation device. The systems and methods of neuromodulation disclosed herein facilitate the treatment of various diseases associated with pathological neural activity.

Abstract: Systems, methods and apparatus for determining and/or programming stimulation settings for a pulse generator capable of steering current to a deep brain stimulation array are disclosed. Individual patient brain geometry and lead specific geometry data can be used to generate a maximum activation function curve. Optimization methods can be used to find stimulation settings that are as close as possible to achieving the value of the maximum activation function curve.

Abstract: Systems and methods for programming multi-electrode neuromodulation systems, with applications for at least deep brain stimulation (DBS) therapy. One or more configurations can be generated and presented to a user for selection. The selected configurations can be settings for programming a pulse generator. The one or more configurations can be Pareto optimal in terms of one or more objective values and can be generated using a particle swarm optimization. The generated configurations can be visualized on a Pareto front for user selection. Objective values can include minimizing power use, maximizing activation of neural pathways and/or regions of interest, minimizing activation of neural pathways and or regions of avoidance, and maximizing or minimizing the distance to sources of sensed functional data.

Abstract: Systems and methods for programming multi-electrode neuromodulation systems, with applications for at least deep brain stimulation (DBS) therapy. One or more configurations can be generated and presented to a user for selection. The selected configurations can be settings for programming a pulse generator. The one or more configurations can be Pareto optimal in terms of one or more objective values and can be generated using a particle swarm optimization. The generated configurations can be visualized on a Pareto front for user selection. Objective values can include minimizing power use, maximizing activation of neural pathways and/or regions of interest, minimizing activation of neural pathways and or regions of avoidance, and maximizing or minimizing the distance to sources of sensed functional data.

Abstract: Systems, methods and apparatus for determining and/or programming stimulation settings for a pulse generator capable of steering current to a deep brain stimulation array are disclosed. Individual patient brain geometry and lead specific geometry data can be used to generate a maximum activation function curve. Optimization methods can be used to find stimulation settings that are as close as possible to achieving the value of the maximum activation function curve.