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Method for Separating and Analyzing Overlapping Data Components with Variable Delays in Single Trials

机译:单次试验中具有可变延迟的重叠数据分量的分离和分析方法

摘要

The present invention relates to a method for separating and analyzing overlapping data components with variable delays in single trials. In particular, the present invention relates to a method for separating and analyzing overlapping data components consistently occur in multiple realizations but locked to different time markers with variable inter-marker delays using an extended residue iteration decomposition (RIDE) algorithm. The present invention has applications in separating and analyzing event-related brain potential (ERP) data derived from single-trial responses.
机译:本发明涉及一种用于在单次试验中分离和分析具有可变延迟的重叠数据分量的方法。特别地,本发明涉及一种使用扩展的残差迭代分解(RIDE)算法来分离和分析在多个实现中一致地发生但以可变的标记间延迟被锁定到不同时间标记的重叠数据分量的方法。本发明在分离和分析从单次试验反应得到的事件相关脑电势(ERP)数据中具有应用。

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