Selection of neurostimulator parameter configurations using neural network
US7252090B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 29, 2004 |
| Grant date | Aug 7, 2007 |
| Priority date | — |
| Expiry date | May 17, 2024 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S128/925
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.