Abstract

This tutorial is aimed to non-engineers using, or planning to use, surface electromyography (sEMG) as an assessment tool in the prevention, monitoring and rehabilitation fields. Its first purpose is to address the issues related to the origin and nature of the signal and to its detection (electrode size, distance, location) by one-dimensional (bipolar and linear arrays) and two-dimensional (grids) electrode systems while avoiding advanced mathematical, physical or physiological issues. Its second purpose is to outline best practices and provide general guidelines for proper signal detection. Issues related to the electrode-skin interface, signal conditioning and interpretation will be discussed in subsequent tutorials.

Highlights

  • In the last decades, the applications of surface EMG have grown in the traditional fields as well as in novel ones while the focus expanded from neurophysiological research to neurorehabilitation, preventive medicine, ergonomics, and assessment of interventions

  • When surface EMG (sEMG) is detected for the purpose of visualization of muscle activity some parameters may be less critical while they are critical in case of sEMG processing for monitoring myoelectric manifestations of muscle fatigue, studying single motor unit behavior, image compartmentalization, or other analysis

  • If the motor unit action potentials (MUAP) shapes are modified by the detection system, the features of the interference pattern observed with one electrode pair are modified as well (Fig. 12)

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Summary

Introduction

The applications of surface EMG (sEMG) have grown in the traditional fields (sport, movement and gait analysis) as well as in novel ones (obstetrics, occupational and art medicine, aging, veterinary medicine, rehabilitation and gaming) while the focus expanded from neurophysiological research to neurorehabilitation, preventive medicine, ergonomics, and assessment of interventions. With respect to these bioelectric signals, sEMG has, at this time, limited diagnostic power but is a powerful tool for prevention, assessment and evaluation of effectiveness of treatments and interventions as described in chapters 12–20 of (Merletti and Farina, 2016) and website https:// www.robertomerletti.it This tutorial is aimed to clinical scientists and rehabilitation operators and has the objective of reducing the gap between basic sEMG technology and its clinical application by providing a technical overview of fundamental sEMG concepts, methods and recommendations for best practices, without addressing advanced mathematical, physical or physiological issues. The EMG as a signal distribution in space, which is evolving in time: The analog EMG “movie”

Generation of the signal distribution in space and time
The sources of the surface electrical potentials
Propagating and non-propagating signals
Detection volume and the issue of crosstalk
Effect of electrode size
Sampling in space
Differential signals and the effect of inter-electrode distance
The transfer function of an electrode grid
Electrode types and location
Recommendations for best practices
Acquisition of sEMG using a single electrode pair
Acquisition of sEMG using linear arrays and electrode grids
Findings
Concluding remarks
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