实时尖峰检测和识别

文档序号:816332 发布日期:2021-03-26 浏览:18次 >En<

阅读说明:本技术 实时尖峰检测和识别 (Real-time spike detection and identification ) 是由 P·凯福什 亚历山大·巴拉尚 迈克尔·艾萨克·曼德尔 丹尼尔·韦特莫尔 于 2019-08-13 设计创作,主要内容包括:用于实质上实时地检测在神经肌肉数据中的尖峰事件的方法和装置。该方法包括从被布置在由用户穿戴的一个或更多个可穿戴设备上的多个神经肌肉传感器接收多个神经肌肉信号,基于多个神经肌肉信号或从多个神经肌肉信号导出的信息来检测对应于在至少一个运动单元中的动作电位的激发的至少一个尖峰事件,基于多个神经肌肉信号或从多个神经肌肉信号导出的信息来确定检测到的至少一个尖峰事件的生物源,并且至少部分地基于检测到的至少一个尖峰事件和/或检测到的至少一个尖峰事件的所确定的生物源来生成至少一个输出。(Methods and apparatus for detecting spiking events in neuromuscular data in substantially real time. The method includes receiving a plurality of neuromuscular signals from a plurality of neuromuscular sensors disposed on one or more wearable devices worn by a user, detecting at least one spiking event corresponding to an excitation of an action potential in at least one motor unit based on the plurality of neuromuscular signals or information derived from the plurality of neuromuscular signals, determining a biological source of the detected at least one spiking event based on the plurality of neuromuscular signals or information derived from the plurality of neuromuscular signals, and generating at least one output based at least in part on the detected at least one spiking event and/or the determined biological source of the detected at least one spiking event.)

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