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Method of automatic recognition and other solutions used in new computer program for full decomposition of EMG signals

机译:用于自动分解EMG信号的新计算机程序中使用的自动识别方法和其他解决方案

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摘要

The analysis of electromyographic signals can be very time consuming. In designing a program for EMG signal analysis, there are two competing factors: the accuracy of the final result and its speed. In scientific work, accuracy is the most important factor. All of the existing decomposition programs used in neurophysiology require a final phase of manual corrections, if reliable results are to be obtained. This phase is considerably longer than the phase of automatic recognition.
机译:肌电信号的分析可能非常耗时。在设计用于EMG信号分析的程序时,有两个相互竞争的因素:最终结果的准确性及其速度。在科学工作中,准确性是最重要的因素。如果要获得可靠的结果,则神经生理学中使用的所有现有分解程序都需要最后阶段的人工校正。该阶段比自动识别阶段要长得多。

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