Consensus for experimental design in electromyography (CEDE) project: Single motor unit matrix.

Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK. Department of Integrative Physiology, University of Colorado Boulder, CO, USA. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, Maribor, Slovenia. US Department of Veterans Affairs, USA. Department of Bioengineering, Imperial College London, London, UK. School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia; School of Biomedical Sciences, The University of Queensland, Brisbane, Australia. School of Biomedical Sciences, The University of Queensland, Brisbane, Australia; LAMHESS, Université Côte d'Azur, Nice, France; Institut Universitaire de France (IUF), Paris, France. Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland; School of Psychology, Queen's University Belfast, Belfast, UK; School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia. Worcester Polytechnic Institute, Worcester, MA, USA. Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, Aachen, Germany. Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, the Netherlands. Neuroscience Research Australia, University of New South Wales, Sydney, Australia. School of Electrical and Electronic Engineering, University College Dublin, Belfield, Dublin, Ireland. Department of Clinical Research and Department of Sports Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark. Auckland Bioengineering Institute and Department of Engineering Science, University of Auckland, Auckland, New Zealand. LISiN, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy. Brain and Mind Centre, University of Sydney, Sydney, Australia Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia. Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, UK. Northwestern University, Evanston, IL, USA; Shirley Ryan AbilityLab, Chicago, IL, USA. School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia. Electronic address: p.hodges@uq.edu.au.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology. 2023;:102726
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Abstract

The analysis of single motor unit (SMU) activity provides the foundation from which information about the neural strategies underlying the control of muscle force can be identified, due to the one-to-one association between the action potentials generated by an alpha motor neuron and those received by the innervated muscle fibers. Such a powerful assessment has been conventionally performed with invasive electrodes (i.e., intramuscular electromyography (EMG)), however, recent advances in signal processing techniques have enabled the identification of single motor unit (SMU) activity in high-density surface electromyography (HDsEMG) recordings. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, provides recommendations for the recording and analysis of SMU activity with both invasive (needle and fine-wire EMG) and non-invasive (HDsEMG) SMU identification methods, summarizing their advantages and disadvantages when used during different testing conditions. Recommendations for the analysis and reporting of discharge rate and peripheral (i.e., muscle fiber conduction velocity) SMU properties are also provided. The results of the Delphi process to reach consensus are contained in an appendix. This matrix is intended to help researchers to collect, report, and interpret SMU data in the context of both research and clinical applications.