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Analysis of a Digital EMG Signal Processor in Dynamic Conditions

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1 Author(s)
D'Alessio, T. ; Dipartimento di Scienza e Tecnica dell''lnformazione e della Comunicazione, Universiti di Roma

The performances of digital electromyographic signal processors in dynamic conditions are determined by evaluating the root-mean-square value of the estimation error, including bias and variance of the estimates. The results thus obtained are valid for a wide class of myoprocessor schemes. The analysis has been used to optimize myoprocessors with moving-average smoothing filters, the length of which will be adapted to the local variability characteristics of the force in order to obtain a minimum overali estimation error.

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Biomedical Engineering, IEEE Transactions on  (Volume:BME-32 ,  Issue: 1 )