摘要:
Apparatus and method for at least partially fitting a cochlear implant system to a patient is described, comprising: executing a genetic algorithm to select values for a subset of one or more parameters selected from a plurality of parameters for which values are to be selected to fit the implant, wherein said genetic algorithm is operable to generate one or more successive generations of values for said parameter subset; and determining, based on patient feedback, said values of said values for said parameter subset in each of said one or more successive generations.
摘要:
Apparatus and method for at least partially fitting a medical implant system to a recipient is described. The medical implant system is configured to provide electrical stimulation and at least one other mode of stimulation to the recipient. These apparatuses and methods comprise executing a genetic algorithm to select a set of parameter values for the medical implant system. This genetic algorithm may comprise generating successive generations of child populations and then providing a determined set of parameter values to the medical implant system for use in providing stimulation to the recipient.
摘要:
Apparatus and method for at least partially fitting a medical implant system to a recipient is described. The medical implant system is configured to provide electrical stimulation and at least one other mode of stimulation to the recipient. These apparatuses and methods comprise executing a genetic algorithm to select a set of parameter values for the medical implant system. This genetic algorithm may comprise generating successive generations of child populations and then providing a determined set of parameter values to the medical implant system for use in providing stimulation to the recipient.
摘要:
Apparatus and method for at least partially fitting a cochlear implant system to a patient is described, comprising: executing a genetic algorithm to select values for a subset of one or more parameters selected from a plurality of parameters for which values are to be selected to fit the implant, wherein said genetic algorithm is operable to generate one or more successive generations of values for said parameter subset; and determining, based on patient feedback, said values of said values for said parameter subset in each of said one or more successive generations.
摘要:
A method, including the action of operating a sense prosthesis, such as a retinal implant, according to a first operating regime while the recipient has a first fatigue level, and operating the sense prosthesis according to a second operating regime while the recipient has a second fatigue level that is greater than the first fatigue level.
摘要:
Embodiments of the present invention are generally directed to the use of a genetic algorithm for the purpose of providing progressive and adaptive auditory training (rehabilitation) to a recipient of a hearing prosthesis. In general, the genetic algorithm is used to adapt the training process to automatically increase the difficulty of the training based on recipient feedback and performance. That is, the genetic algorithm progressively removes perceivable sounds from the training process so as to generate groups of sounds that are difficult for a recipient to perceive.
摘要:
Apparatus and method for at least partially fitting a medical implant system to a patient is described. These apparatuses and methods comprise executing a genetic algorithm to select a set of parameter values for the medical implant system. This genetic algorithm may comprise generating successive generations of child populations until a confidence threshold is reached. This confidence threshold comprises determining whether the values of each parameter value to be selected have converged on particular value with a specified confidence level. In determining whether the values have converged, one or more initial generations of the search may be excluded in computing the likelihood that the value has converged.
摘要:
Apparatus and method for at least partially fitting a medical implant system to a patient is described. These apparatuses and methods comprise executing a genetic algorithm to select a set of parameter values for the medical implant system. This genetic algorithm may comprise executing a tabu search wherein value sets that are determined to be bad are added to a tabu list that may be consulted to exclude tabu value sets from successive generations of the genetic algorithm.
摘要:
Apparatus and method for at least partially fitting a medical implant system to a patient is described. These apparatuses and methods comprise using a dynamic mutation rate. This genetic algorithm may comprise generating successive generations of child populations. In executing the genetic algorithm, children may undergo mutations based on a mutation rate. This mutation rate may be dynamic and be based on the characteristics of the children in the generation. Additionally, values may be frozen during execution of the genetic algorithm if the likelihood that the value has converged on a particular value exceeds a threshold.
摘要:
Apparatus and method for at least partially fitting a medical implant system to a patient is described. These apparatuses and methods comprise using a dynamic mutation rate. This genetic algorithm may comprise generating successive generations of child populations. In executing the genetic algorithm, children may undergo mutations based on a mutation rate. This mutation rate may be dynamic and be based on the characteristics of the children in the generation. Additionally, values may be frozen during execution of the genetic algorithm if the likelihood that the value has converged on a particular value exceeds a threshold.