title: Surface EMG crosstalk evaluated from experimental recordings and simulated signals. Reflections on crosstalk interpretation, quantification and reduction.
abstract: OBJECTIVE
  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.
authors.affiliation: Dipartimento di Elettronica, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, 10129, Italy. farina@athena.polito.it
authors.forename: D
authors.initials: D
authors.lastname: Farina
authors.forename: R
authors.initials: R
authors.lastname: Merletti
authors.forename: B
authors.initials: B
authors.lastname: Indino
authors.forename: T
authors.initials: T
authors.lastname: Graven-Nielsen
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D016477:Artifacts; D004576:Electromyography / Q000295:instrumentation; D004594:Electrophysiology; D006801:Humans; D008959:Models, Neurological; D008962:Models, Theoretical; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013997:Time Factors