Selection of neurostimulator parameter configurations using neural networks
First Claim
1. A method comprising:
- receiving an indication of observed efficacy of stimulation delivered by a neurostimulator according to a first stimulation parameter configuration;
modifying a neural network based on the observed efficacy of the stimulation delivered according to the first stimulation parameter configuration, wherein the neural network comprises a plurality of interconnected nodes; and
identifying a second stimulation parameter configuration based on an output of the modified neural network.
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Abstract
In general, the invention is directed to a technique for selection of parameter configurations for a neurostimulator using neural networks. The technique may be employed by a programming device to allow a clinician to select parameter configurations, and then program an implantable neurostimulator to deliver therapy using the selected parameter configurations. The parameter configurations may include one or more of a variety of parameters, such as electrode configurations defining electrode combinations and polarities for an electrode set implanted in a patient. The electrode set may be carried by one or more implanted leads that are electrically coupled to the neurostimulator. In operation, the programming device executes a parameter configuration search algorithm to guide the clinician in the selection of parameter configurations. The search algorithm relies on a neural network that identifies potential optimum parameter configurations.
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Citations
41 Claims
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1. A method comprising:
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receiving an indication of observed efficacy of stimulation delivered by a neurostimulator according to a first stimulation parameter configuration;
modifying a neural network based on the observed efficacy of the stimulation delivered according to the first stimulation parameter configuration, wherein the neural network comprises a plurality of interconnected nodes; and
identifying a second stimulation parameter configuration based on an output of the modified neural network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer-readable medium comprising instructions to cause a processor to:
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receive an indication of observed efficacy of stimulation delivered by a neurostimulator according to a first stimulation parameter configuration;
modify a neural network based on the observed efficacy of the stimulation delivered according to the first stimulation parameter configuration, wherein the neural network comprises a plurality of interconnected nodes; and
identify a second stimulation parameter configuration based on an output of the modified neural network. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. A device comprising a processor programmed to:
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receive an indication of observed efficacy of stimulation delivered by a neurostimulator according to a first stimulation parameter configuration;
modify a neural network based on the observed efficacy of the stimulation delivered according to the first stimulation parameter configuration, wherein the neural network comprises a plurality of interconnected nodes; and
identify a second stimulation parameter configuration based on an output of the modified neural network. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41)
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Specification