Methods Inf Med 2004; 43(01): 30-35
DOI: 10.1055/s-0038-1633419
Original Article
Schattauer GmbH

Surface EMG Crosstalk Evaluated from Experimental Recordings and Simulated Signals

Reflections on Crosstalk Interpretation, Quantification and Reduction
D. Farina
1   Centro di Bioingegneria, Dip. di Elettronica, Politecnico di Torino, Torino, Italy
,
R. Merletti
1   Centro di Bioingegneria, Dip. di Elettronica, Politecnico di Torino, Torino, Italy
,
B. Indino
1   Centro di Bioingegneria, Dip. di Elettronica, Politecnico di Torino, Torino, Italy
,
T. Graven-Nielsen
2   Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

Summary

Objectives: Surface EMG crosstalk is the EMG signal detected over a non-active muscle and generated by a nearby muscle. The aim of this study was to analyze the sources of crosstalk signals in surface EMG recordings and to discuss methods proposed in the literature for crosstalk quantification and reduction.

Methods: The study is based on both simulated and experimental signals. The simulated signals are generated by a structure based surface EMG signal model. Signals were recorded with both intramuscular and surface electrodes and single motor unit surface potentials were extracted with the spike triggered averaging approach. Moreover, surface EMG signals were recorded from electrically stimulated muscles.

Results: From the simulation and experimental analysis it was clear that the main determinants of crosstalk are non-propagating signal components, generated by the extinction of the intracellular action potentials at the tendons. Thus, crosstalk signals have a different shape with respect to the signals detected over the active muscle and contain high frequency components.

Conclusions: Since crosstalk has signal components different from those dominant in case of detection from near sources, commonly used methods to quantify and reduce crosstalk, such as the cross-correlation coefficient and high-pass temporal filtering, are not reliable. Selectivity of detection systems must be discussed separately as selectivity with respect to propagating and non-propagating signal components. The knowledge about the origin of crosstalk signal constitutes the basis for crosstalk interpretation, quantification, and reduction.

 
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