提出了一种基于基本尺度熵的表面肌电信号特征的提取方法。
According to the chaotic characteristic of surface electromyography signal, a novel method that USES basic-scale entropy to extract feature from surface electromyography signal (SEMG) was proposed.
文献指出，基本尺度熵方法可以应用于短时心率变异信号的分析。
We introduce a as a base-scale entropy complexity measure for analyzing time series.
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