Selection of neurostimulator parameter configurations using bayesian networks
US7184837B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 29, 2004 |
| Grant date | Feb 27, 2007 |
| Priority date | — |
| Expiry date | Aug 19, 2025 |
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 an implantable neurostimulator using Bayesian networks. The technique may be employed by a programming device to allow a clinician to select parameter configurations, including electrode configurations, and then program an implantable neurostimulator to deliver therapy using the selected parameter configurations. 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 Bayesian network structure that encodes conditional probabilities describing different states of the parameter set. The Bayesian network structure provides a conditional probability table that represents causal relationships between different parameter configurations. The search algorithm uses the Bayesian network structure to infer likely efficacies of possible parameter configurations based on the efficacies of parameter configurations already observed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.