Analysis of a Digital EMG Signal Processor in Dynamic Conditions
作者： T. D'Alessio
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摘要: The performances of digital electromyographic signal processors in dynamic conditions are determined by evaluating the root-mean-square value estimation error, including bias and variance estimates. results thus obtained valid for a wide class myoprocessor schemes. analysis has been used to optimize myoprocessors with moving-average smoothing filters, length which will be adapted local variability characteristics force order obtain minimum overali error.
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