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1.发明申请公开(公告)号：US20100152813A1
公开(公告)日：2010-06-17
申请号：US12557208
申请日：2009-09-10
CPC分类号： A61N1/36032 , A61N1/36036
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.
摘要翻译： 描述了将医疗植入物系统至少部分地装配到患者的装置和方法。 这些装置和方法包括执行遗传算法以选择用于医学植入系统的一组参数值。 该遗传算法可以包括执行禁忌搜索，其中被确定为坏的值集合被添加到可以参考的禁忌列表，以从遗传算法的连续世代排除禁忌值集合。
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公开(公告)号：US08825168B2
公开(公告)日：2014-09-02
申请号：US12557218
申请日：2009-09-10
IPC分类号： A61N1/00
CPC分类号： H04R25/70 , A61N1/36036
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.
摘要翻译： 描述了将医疗植入物系统至少部分地装配到患者的装置和方法。 这些装置和方法包括使用动态突变率。 该遗传算法可以包括产生连续几代的儿童群体。 在执行遗传算法时，儿童可能会根据突变率进行突变。 这种突变率可能是动态的，并且基于一代中的儿童的特征。 此外，如果值已经收敛于特定值的可能性超过阈值，则可以在遗传算法的执行期间冻结值。
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公开(公告)号：US20110060383A1
公开(公告)日：2011-03-10
申请号：US12557218
申请日：2009-09-10
CPC分类号： H04R25/70 , A61N1/36036
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.
摘要翻译： 描述了将医疗植入物系统至少部分地装配到患者的装置和方法。 这些装置和方法包括使用动态突变率。 该遗传算法可以包括产生连续几代的儿童群体。 在执行遗传算法时，儿童可能会根据突变率进行突变。 这种突变率可能是动态的，并且基于一代中的儿童的特征。 此外，如果值已经收敛于特定值的可能性超过阈值，则可以在遗传算法的执行期间冻结值。
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4.发明申请公开(公告)号：US20130103113A1
公开(公告)日：2013-04-25
申请号：US13592846
申请日：2012-08-23
IPC分类号： A61N1/36
CPC分类号： A61N1/36032 , A61N1/36036
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.
摘要翻译： 描述了将医疗植入物系统至少部分地装配到患者的装置和方法。 这些装置和方法包括执行遗传算法以选择用于医学植入系统的一组参数值。 该遗传算法可以包括执行禁忌搜索，其中被确定为坏的值集合被添加到可以参考的禁忌列表，以从遗传算法的连续世代排除禁忌值集合。
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5.发明授权公开(公告)号：US08812122B2
公开(公告)日：2014-08-19
申请号：US13592846
申请日：2012-08-23
IPC分类号： A61N1/00
CPC分类号： A61N1/36032 , A61N1/36036
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.
摘要翻译： 描述了将医疗植入物系统至少部分地装配到患者的装置和方法。 这些装置和方法包括执行遗传算法以选择用于医学植入系统的一组参数值。 该遗传算法可以包括执行禁忌搜索，其中被确定为坏的值集合被添加到可以参考的禁忌列表，以从遗传算法的连续世代排除禁忌值集合。
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6.发明授权公开(公告)号：US08255059B2
公开(公告)日：2012-08-28
申请号：US12557208
申请日：2009-09-10
IPC分类号： A61N1/00
CPC分类号： A61N1/36032 , A61N1/36036
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.
摘要翻译： 描述了将医疗植入物系统至少部分地装配到患者的装置和方法。 这些装置和方法包括执行遗传算法以选择用于医学植入系统的一组参数值。 该遗传算法可以包括执行禁忌搜索，其中被确定为坏的值集合被添加到可以参考的禁忌列表，以从遗传算法的连续世代排除禁忌值集合。
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公开(公告)号：US11596793B2
公开(公告)日：2023-03-07
申请号：US16840890
申请日：2020-04-06
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.
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公开(公告)号：US20140243913A1
公开(公告)日：2014-08-28
申请号：US13774377
申请日：2013-02-22
申请人： Sean Lineaweaver
发明人： Sean Lineaweaver
CPC分类号： A61N1/36032 , A61B5/12 , A61B5/123 , A61N1/0541 , A61N1/36036 , A61N1/37241 , A61N1/37247 , G06F19/00 , G06F19/3481 , G06N3/126 , G16H40/63 , H04R25/70 , H04R2225/41 , H04R2225/43
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.
摘要翻译： 本发明的实施例通常涉及遗传算法的用途，以向听觉假体的接收者提供渐进式和适应性听觉训练（康复）。 一般来说，遗传算法用于适应训练过程，根据接收者的反馈和性能自动提高训练的难度。 也就是说，遗传算法逐渐地从训练过程中去除可感知的声音，以便生成难以接收者察觉的声音组。
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9.发明授权Using a genetic algorithm employing an expedited convergence mechanism to at least partially fit a medical implant to a patient using patient feedback 有权使用使用加速收敛机制的遗传算法，以使用患者反馈至少部分地将医疗植入物装配到患者公开(公告)号：US08401978B2
公开(公告)日：2013-03-19
申请号：US12557233
申请日：2009-09-10
申请人： Sean Lineaweaver
发明人： Sean Lineaweaver
IPC分类号： G06F15/18
CPC分类号： G06F17/5009 , A61N1/025 , A61N1/36036 , A61N1/37235 , G06F19/00 , G06F2217/08 , G06N3/126 , G16H50/20 , H04R25/70
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.
摘要翻译： 描述了将医疗植入物系统至少部分地装配到患者的装置和方法。 这些装置和方法包括执行遗传算法以选择用于医学植入系统的一组参数值。 该遗传算法可以包括产生连续的子代群体，直到达到置信阈值。 该置信阈值包括确定要选择的每个参数值的值是否已经收敛于具有指定的置信水平的特定值。 在确定值是否已经收敛时，可以在计算该值已经收敛的可能性时排除搜索的一个或多个初始世代。
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10.发明申请公开(公告)号：US20050107845A1
公开(公告)日：2005-05-19
申请号：US10963594
申请日：2004-10-14
申请人： Gregory Wakefield , Christopher Van Den Honert , Aaron Parkinson , Wendy Parkinson , Sean Lineaweaver , Jim Patrick , John Parker
发明人： Gregory Wakefield , Christopher Van Den Honert , Aaron Parkinson , Wendy Parkinson , Sean Lineaweaver , Jim Patrick , John Parker
CPC分类号： A61N1/36036 , A61N1/0541
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.
摘要翻译： 描述了用于至少部分地将人工耳蜗植入物系统拟合到患者的装置和方法，包括：执行遗传算法以选择从多个参数中选择值以选择适合的一个或多个参数的子集的值 所述植入物，其中所述遗传算法可操作以产生用于所述参数子集的值的一个或多个连续代数; 以及基于患者反馈确定所述一个或多个连续世代中的每一个中所述参数子集的所述值的所述值。
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