Literature DB >> 15026832

Surface EMG crosstalk evaluated from experimental recordings and simulated signals. Reflections on crosstalk interpretation, quantification and reduction.

D Farina1, R Merletti, B Indino, T Graven-Nielsen.   

Abstract

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.

Mesh:

Year:  2004        PMID: 15026832

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  23 in total

1.  Increased voluntary drive is associated with changes in common oscillations from 13 to 60 Hz of interference but not rectified electromyography.

Authors:  Osmar P Neto; Harsimran S Baweja; Evangelos A Christou
Journal:  Muscle Nerve       Date:  2010-09       Impact factor: 3.217

2.  Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans.

Authors:  Jinsook Roh; William Z Rymer; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-01-25       Impact factor: 2.714

3.  Magnitude and behavior of cross-talk effects in multichannel electrophysiology experiments.

Authors:  Matthew J Nelson; Silvana Valtcheva; Laurent Venance
Journal:  J Neurophysiol       Date:  2017-04-19       Impact factor: 2.714

4.  Identification of common synaptic inputs to motor neurons from the rectified electromyogram.

Authors:  Dario Farina; Francesco Negro; Ning Jiang
Journal:  J Physiol       Date:  2013-03-18       Impact factor: 5.182

5.  A compact-sized surface EMG sensor for myoelectric hand prosthesis.

Authors:  Alok Prakash; Shiru Sharma; Neeraj Sharma
Journal:  Biomed Eng Lett       Date:  2019-08-26

6.  Badminton players show a lower coactivation and higher beta band intermuscular interactions of ankle antagonist muscles during isokinetic exercise.

Authors:  Lejun Wang; Wenxin Niu; Kuan Wang; Shengnian Zhang; Li Li; Tianfeng Lu
Journal:  Med Biol Eng Comput       Date:  2019-08-31       Impact factor: 2.602

7.  Alterations in upper limb muscle synergy structure in chronic stroke survivors.

Authors:  Jinsook Roh; William Z Rymer; Eric J Perreault; Seng Bum Yoo; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-11-14       Impact factor: 2.714

8.  Muscle coactivation: a generalized or localized motor control strategy?

Authors:  Laura A Frey-Law; Keith G Avin
Journal:  Muscle Nerve       Date:  2013-08-30       Impact factor: 3.217

9.  Analysis of muscle fiber conduction velocity enables reliable detection of surface EMG crosstalk during detection of nociceptive withdrawal reflexes.

Authors:  Michael Brun Jensen; José Alberto Biurrun Manresa; Ken Steffen Frahm; Ole Kæseler Andersen
Journal:  BMC Neurosci       Date:  2013-03-26       Impact factor: 3.288

Review 10.  Surface electromyography signal processing and classification techniques.

Authors:  Rubana H Chowdhury; Mamun B I Reaz; Mohd Alauddin Bin Mohd Ali; Ashrif A A Bakar; K Chellappan; T G Chang
Journal:  Sensors (Basel)       Date:  2013-09-17       Impact factor: 3.576

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