Surgery – Computer assisted medical diagnostics – Neural network
Reexamination Certificate
2007-08-07
2007-08-07
Layno, Carl (Department: 3766)
Surgery
Computer assisted medical diagnostics
Neural network
C607S002000, C607S045000, C607S046000, C607S116000, C607S117000, C600S546000
Reexamination Certificate
active
10767922
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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International Search Report, Application No. PCT/US2005/029850, mailed Nov. 30, 2004.
Layno Carl
Malamud Deborah
Medtronic Inc.
Shumaker & Sieffert PA
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