Surgery: light – thermal – and electrical application – Light – thermal – and electrical application – Electrical therapeutic systems
Reexamination Certificate
2005-04-12
2005-04-12
Schaetzle, Kennedy (Department: 3762)
Surgery: light, thermal, and electrical application
Light, thermal, and electrical application
Electrical therapeutic systems
C600S559000
Reexamination Certificate
active
06879860
ABSTRACT:
A method for fitting a cochlear implant to a patient. A genetic algorithm operates to generate successive generations of multiple groups of values for a parameter subset, and patient feedback during execution of the genetic algorithm determines the multiple groups of subset values in successive generations. In each generation, half of the groups of values for the parameter subset are selected and used to determine the groups of values for the next generation. Values for the parameters not included in the subset are selected by any traditional method that does not use a genetic algorithm. In one illustrative embodiment of the invention, there are only three parameters in the subset that are selected by a genetic algorithm—parameters relating to rate, number of channels and filtering characteristics.
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Forrest, Stephanie, “Genetic Algorithms: Principles of Natural Selection Applied to Computation”, Science, Aug. 13, 1993, vol. 281(5123), pp 872-878.
Takagi, Hideyuki, “Interactive Evolutionary Computation: Fusion of the Capabillities of EC Optimization and Human Evaluation”, Proceedings of the IEEE, Sep. 2001, vol. 89, No. 9, pp. 1275-1296.
Honert Christopher van den
Wakefield Gregory Howard
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