Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals |
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| Affiliation: | 1. Department of Bioengineering, Imperial College London, SW7 2AZ London, UK;2. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, 2000 Maribor, Slovenia;3. Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK;4. Department of Integrative Physiology, University of Colorado Boulder, CO, United States;5. Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, Rome, Italy;1. Department of Movement, Human and Health Sciences, University of Rome ‘Foro Italico’, Rome, Italy;2. Department of Bioengineering, Imperial College London, SW7 2AZ London, UK;1. Academic Unit of Neurology, Trinity College Dublin, the University of Dublin, Dublin 2, Ireland;2. School of Electrical and Electronic Engineering, University College Dublin, Belfield, Dublin 4, Ireland;3. LISiN, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy;4. Department of Clinical Research and Department of Sports Sciences and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark;5. School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia;6. Worcester Polytechnic Institute, Worcester, MA, USA;7. Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, the Netherlands;8. Faculty of Sport Sciences, Laboratory “Movement, Interactions, Performance” (EA 4334), University of Nantes, Nantes, France;9. Institut Universitaire de France (IUF), Paris, France;10. Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, University of Melbourne, Parkville, Australia;11. Auckland Bioengineering Institute and Department of Engineering Science, University of Auckland, Auckland, New Zealand;12. Trinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin, Ireland;13. School of Psychology, Queen’s University Belfast, Belfast, UK;14. School of Human Movement and Nutrition Sciences, The University of Queensland, Australia;15. Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, Aachen, Germany;p. Department of Integrative Physiology, University of Colorado Boulder, CO, USA;q. Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK;r. Department of Bioengineering, Imperial College London, London, UK;s. Neuroscience Research Australia, University of New South Wales, Sydney, Australia;t. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, Maribor, Slovenia;u. Brain and Mind Centre, University of Sydney, Sydney, Australia;v. Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia;w. US Department of Veterans Affairs, USA;x. Northwestern University, Evanston, IL, USA;y. Shirley Ryan AbilityLab, Chicago, IL, USA;z. Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, UK;11. School of Biomedical Sciences, The University of Queensland, Brisbane, Australia;1. Laboratory of Neuromuscular Biomechanics, School of Health and Sport Science, Chukyo University, 101 Tokodachi, Kaizu-cho, Toyota-shi, Aichi 470-0393, Japan;2. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, 2000 Maribor, Slovenia;3. Toyota Motor Corporation, 1 Toyotacho, Toyota-shi, Aichi 471-8571, Japan;1. School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia;2. Worcester Polytechnic Institute, Worcester, MA, USA;3. Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, the Netherlands;4. Faculty of Sport Sciences, Laboratory “Movement, Interactions, Performance” (EA 4334), University of Nantes, Nantes, France;5. Institut Universitaire de France (IUF), Paris, France;6. School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland;7. LISiN, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy;8. Department of Clinical Research and Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark;9. Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, University of Melbourne, Parkville, Australia;10. Auckland Bioengineering Institute and Department of Engineering Science, University of Auckland, Auckland, New Zealand;11. Trinity College Institute of Neuroscience, School of Psychology, Trinity College Dublin, Dublin, Ireland;12. School of Psychology, Queen’s University Belfast, Belfast, UK;13. School of Human Movement and Nutrition Sciences, The University of Queensland, Australia;14. Department of Rehabilitation and Prevention Engineering, Institute of Applied Medical Engineering, RWTH Aachen University, Aachen, Germany;15. Department of Integrative Physiology, University of Colorado Boulder, CO, USA;p. Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, UK;q. Department of Bioengineering, Imperial College London, London, UK;r. Neuroscience Research Australia, University of New South Wales, Sydney, Australia;s. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, Maribor, Slovenia;t. Brain and Mind Centre, University of Sydney, Sydney, Australia;u. Department of Neurology, Royal Prince Alfred Hospital, Sydney, Australia;v. US Department of Veterans Affairs, USA;w. Northwestern University, Evanston, IL, USA;x. Shirley Ryan AbilityLab, Chicago, IL, USA;y. Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, UK;z. School of Biomedical Sciences, The University of Queensland, Brisbane, Australia;1. Department of Sports Medicine and Sports Orthopaedics, University of Potsdam, Potsdam, Germany;2. Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen (BFNT), Bernstein Centre for Computational Neuroscience (BCCN), University Medical Center Göttingen, Georg-August University, Göttingen, Germany;3. Pain Clinic, Center for Anesthesiology, Emergency and Intensive Care Medicine, University Hospital Göttingen, Göttingen, Germany;1. Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, North Carolina State University, United States |
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| Abstract: | Recent work demonstrated that it is possible to identify motor unit discharge times from high-density surface EMG (HDEMG) decomposition. Since then, the number of studies that use HDEMG decomposition for motor unit investigations has increased considerably. Although HDEMG decomposition is a semi-automatic process, the analysis and interpretation of the motor unit pulse trains requires a thorough inspection of the output of the decomposition result. Here, we report guidelines to perform an accurate extraction of motor unit discharge times and interpretation of the signals. This tutorial includes a discussion of the differences between the extraction of global EMG signal features versus the identification of motor unit activity for physiological investigations followed by a comprehensive guide on how to acquire, inspect, and decompose HDEMG signals, and robust extraction of motor unit discharge characteristics. |
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| Keywords: | Motor units Neural drive Blind source separation Decomposition |
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