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Systems and methods for autoconfiguration of pattern-recognition controlled myoelectric prostheses

机译:用于模式识别控制的肌电假体自动配置的系统和方法

摘要

Embodiments of the invention provide for a prosthesis guided training system that includes a plurality of sensors for detecting electromyographic activity. A computing device, which can include a processor and memory, can extract data from the electromyographic activity. A real-time pattern recognition control algorithm and an autoconfiguring pattern recognition training algorithm can be stored in the memory. The computing device can determine movement of a prosthesis based on the execution of the real-time pattern recognition control algorithm. The computing device can also alter operational parameters of the real-time pattern recognition control algorithm based on execution of the autoconfiguring pattern recognition training algorithm.
机译:本发明的实施例提供一种假体引导的训练系统,其包括用于检测肌电活动的多个传感器。可以包括处理器和存储器的计算设备可以从肌电活动中提取数据。实时模式识别控制算法和自动配置模式识别训练算法可以存储在存储器中。计算设备可以基于实时模式识别控制算法的执行来确定假体的运动。该计算设备还可以基于自动配置模式识别训练算法的执行来改变实时模式识别控制算法的操作参数。

著录项

  • 公开/公告号US10318863B2

    专利类型

  • 公开/公告日2019-06-11

    原文格式PDF

  • 申请/专利权人 REHABILITATION INSTITUTE OF CHICAGO;

    申请/专利号US201313950000

  • 发明设计人 BLAIR LOCK;LEVI HARGROVE;

    申请日2013-07-24

  • 分类号G16H50;A61B5/0488;A61F2/72;A61B5;A61F2/54;G06N3/08;G05B13/02;A61F2/50;A61F2/70;A61F2/76;A61F2/56;

  • 国家 US

  • 入库时间 2022-08-21 12:16:51

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