Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors
Review article, 2022

Surface electromyography (sEMG) has been the subject of thousands of scientific articles, but many barriers limit its clinical applications. Previous work has indicated that the lack of time, competence, training, and teaching is the main barrier to the clinical application of sEMG. This work follows up and presents a number of analogies, metaphors, and simulations using physical and mathematical models that provide tools for teaching sEMG detection by means of electrode pairs (1D signals) and electrode grids (2D and 3D signals). The basic mechanisms of sEMG generation are summarized and the features of the sensing system (electrode location, size, interelectrode distance, crosstalk, etc.) are illustrated (mostly by animations) with examples that teachers can use. The most common, as well as some potential, applications are illustrated in the areas of signal presentation, gait analysis, the optimal injection of botulinum toxin, neurorehabilitation, ergonomics, obstetrics, occupational medicine, and sport sciences. The work is primarily focused on correct sEMG detection and on crosstalk. Issues related to the clinical transfer of innovations are also discussed, as well as the need for training new clinical and/or technical operators in the field of sEMG.

volume conductor

conduction velocity

modeling

surface electromyography

teaching

electrodes

surface EMG signal

high-density surface EMG

crosstalk

Author

Isabella Campanini

San Sebastiano Hospital

Andrea Merlo

Merlo Bioengineering

San Sebastiano Hospital

Catherine Disselhorst-Klug

RWTH Aachen University

Luca Mesin

Polytechnic University of Turin

Silvia Muceli

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Roberto Merletti

Polytechnic University of Turin

Sensors

14248220 (eISSN)

Vol. 22 11 4150

Subject Categories

Medical Laboratory and Measurements Technologies

Other Medical Engineering

Biomedical Laboratory Science/Technology

DOI

10.3390/s22114150

PubMed

35684769

More information

Latest update

1/10/2023