WAVEFORM SHAPES FOR TREATING NEUROLOGICAL DISORDERS OPTIMIZED FOR ENERGY EFFICIENCY
First Claim
1. A system for neurological tissue stimulation comprisinga lead sized and configured for implantation in a targeted tissue stimulation region, anda pulse generator coupled to the lead, the pulse generator including a power source comprising a battery and a microprocessor coupled to the battery and being operable to apply to the lead a stimulation waveform derived at least in part through the use of a global optimization algorithm.
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Abstract
Systems and methods for stimulation of neurological tissue apply a stimulation waveform that is derived by a developed genetic algorithm (GA), which may be coupled to a computational model of extracellular stimulation of a mammalian myelinated axon. The waveform is optimized for energy efficiency.
57 Citations
36 Claims
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1. A system for neurological tissue stimulation comprising
a lead sized and configured for implantation in a targeted tissue stimulation region, and a pulse generator coupled to the lead, the pulse generator including a power source comprising a battery and a microprocessor coupled to the battery and being operable to apply to the lead a stimulation waveform derived at least in part through the use of a global optimization algorithm.
- 15. A stimulation waveform for application to targeted neurological tissue, the waveform being selected from a set of waveforms consisting essentially of Gaussian curves having varying pulse widths and derived by a prescribed genetic algorithm (GA) coupled to a computational model of extracellular stimulation of a mammalian myelinated axon, wherein the set of stimulus waveforms are optimized for energy efficiency.
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18. A system for creating a stimulation waveform optimized for energy efficiency comprising
a population of parent stimulation waveforms, first means including a genetic algorithm (GA) for generating a population of offspring stimulation waveforms by mating the population of parent stimulation waveforms, second means consisting essentially of a computational model of extracellular stimulation of a mammalian myelinated axon, being operative for assessing the fitness of individual offspring stimulation waveforms generated by the first means in terms of energy efficiency and selecting as a new population of parent stimulation waveforms the current offspring stimulation waveforms having the highest energy efficiency values, the selection terminating when predetermined termination criteria is met.
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22. A method for stimulating neurological tissue comprising
applying a stimulation waveform optimized for energy efficiency derived by a prescribed genetic algorithm (GA) coupled to a computational model of extracellular stimulation of a mammalian myelinated axon.
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27. A method for prolonging the battery life of an implantable pulse generator comprising
conditioning the pulse generator to apply a stimulation waveform optimized for energy efficiency derived by a prescribed genetic algorithm (GA) coupled to a computational model of extracellular stimulation of a mammalian myelinated axon.
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32. A method for generating an optimized waveform comprising
coupling a genetic algorithm (GA) to a computational model of extracellular stimulation of a mammalian myelinated axon, and allowing the GA to progress until the waveforms converge upon an energy-optimal shape, thereby generating the optimized waveform.
Specification