Formazione e Applicazioni

Formazione

Materiale ad accesso libero nel campo dell'insegnamento del sEMG nella scienza del movimento e nell'educazione fisioterapica:

Merletti R, Temporiti F, Gatti R, Gupta S, Sandrini G, Serrao M.
Translation of surface electromyography to clinical and motor rehabilitation applications: The need for new clinical figures. Translational Neuroscience, 2023;14(1): 20220279. Open access.

Campanini, I., Merlo, A., Disselhorst-Klug, C., Mesin, L., Muceli, S., Merletti, R.
Fundamental concepts of bipolar and high-density surface EMG understanding and teaching for clinical, occupational and sport applications: origin, detection, and main errors. Sensors (Basel) 2022;22(11):4150. doi: 10.3390/s22114150. Open access.

Scano, A., Guanziroli, E., Brambilla, C., Amendola, C., Pirovano, I., Gasperini, G., Molteni, F., Spinelli, L., Molinari Tosatti, L., Rizzo, G., et al.
A Narrative Review on Multi-Domain Instrumental Approaches to Evaluate Neuromotor Function in Rehabilitation. Healthcare, 2023; 11, 2282. doi: 10.3390/healthcare11162282. Open access.

Fontiers Editorial Project and Open e-book :
Surface Electromyography: Barriers Limiting Widespread use of sEMG in Clinical Assessment and Neurorehabilitation Open access.

Fontiers Editorial Project and Open e-book :
Electromyography (EMG) Techniques for the Assessment and Rehabilitation of Motor Impairment Following Stroke. Open access.

Fontiers Editorial Project and Open e-book :
Pursuing quality education in Physical and Rehabilitation Medicine Open access.

Frontiers Editorial Project:
Surface EMG and other measurement techniques in rehabilitation research and practice: are new educational programs needed? Open access.

See "Resources" in www.isek.org for Tutorials and Consensus Papers (CEDE project).

JEK Tutorials:

Merletti R., Muceli S., Tutorial: Surface EMG Detection in Space and Time: Best Practices. Journal of Electromyography and Kinesiology, 2019;49. doi.org/10.1016/j.jelekin.2019.102363 Open access.

Merletti R., Cerone G.L., Tutorial: Surface EMG Detection, Conditioning, and Pre-processing: Best Practices. Journal of Electromyography and Kinesiology, 2020;54:102440. doi:10.1016/j.jelekin.2020.102440.

Clancy E., Morin E., Hajian G., Merletti R., Tutorial: Surface Electromyogram (sEMG) Amplitude Estimation: Best Practices. Journal of Electromyography and Kinesiology 2023;72:102807. https://doi.org/10.1016/j.jelekin.2023.102807

Valli G., Ritsche P., Casolo A., Negro F., De Vito G., Tutorial: Analysis of Central and Peripheral Motor Unit Properties from Decomposed High-Density Surface EMG Signals with openhdemg. 2024 Feb:74:102850. doi:10.1016/j.jelekin.2023.102850.

Del Vecchio A., Holobar A., Falla D., Felici F., Enoka R.M., Farina D., Tutorial: Analysis of Motor Unit Discharge Characteristics from High-Density Surface EMG Signals. J Electromyogr Kinesiol. 2020;53:102426. doi:10.1016/j.jelekin.2020.102426.

Avrillon S, Hug F, Baker S, Gibbs C, Farina D, Tutorial on MUedit: An open-source software for identifying and analysing the discharge timing of motor units from electromyographic signals. J Electromyogr Kinesiol 2024;77:102886. doi:10.1016/j.jelekin.2024.102886.

Muceli S., Merletti R., Tutorial: Frequency Analysis of the Surface EMG Signal: Best Practices. Accepted for publication in JEK. In press.

Consensus Papers (CEDE project):

The Consensus for Experimental Design in Electromyography (CEDE) project is an international initiative, supported by ISEK, that aims to develop consensus-based matrices to guide decision-making in the recording, analysis, and interpretation of sEMG data. This online study is led by Dr. Manuela Besomi (Coordinator of the CEDE project) and Prof. Paul Hodges (Lead Investigator of the CEDE project) from The University of Queensland, in collaboration with ISEK. (from Hodges 2020)

Hodges PW. Editorial: Consensus for Experimental Design in Electromyography (CEDE) project. J Electromyogr Kinesiol. 2020;50:102343. doi:10.1016/j.jelekin.2019.07.013.

Besomi M., Hodges P., et al. Consensus for Experimental Design in Electromyography (CEDE) Project: Electrode Selection Matrix. Journal of Electromyography and Kinesiology, 2019;48:128–144. https://doi.org/10.1016/j.jelekin.2019.07.008.

Besomi M., Hodges P.W., et al. Consensus for Experimental Design in Electromyography (CEDE) Project: Amplitude Normalization Matrix. Journal of Electromyography and Kinesiology, 2020;53:102438. doi:10.1016/j.jelekin.2020.102438.

McManus L., Lowery M., Merletti R., et al. Consensus for Experimental Design in Electromyography (CEDE) Project: Terminology Matrix. Journal of Electromyography and Kinesiology, 2021;59:102565. doi:10.1016/j.jelekin.2021.102565.

Gallina A., Disselhorst-Klug C., Farina D., Merletti R., et al. Consensus for Experimental Design in Electromyography (CEDE) Project: High-Density Surface Electromyography Matrix. Journal of Electromyography and Kinesiology, 2022;64:102656. doi:10.1016/j.jelekin.2022.102656.

Besomi M., Devecchi V., Falla D., McGill K., Kiernan C., Merletti R., van Dieën J., et al. Consensus for Experimental Design in Electromyography (CEDE) Project: Checklist for Reporting and Critically Appraising EMG Studies (CEDE-Check). Journal of Electromyography and Kinesiology, 2024;76:102874. doi:10.1016/j.jelekin.2024.102874.

Dick T., Tucker K., Hug F., Besomi M., et al. Consensus for Experimental Design in Electromyography (CEDE) Project: Application of EMG to Estimate Muscle Force. Journal of Electromyography and Kinesiology, 2024;14:102910. doi:10.1016/j.jelekin.2024.102910.

“Frontiers in” editorial projects (open access):

“sEMG and other measurement techniques in rehabilitation research and practice: are new educational programs needed?” https://www.frontiersin.org/research-topics/61597/

“Surface Electromyography: Barriers Limiting Widespread use of sEMG in Clinical Assessment and Neurorehabilitation” https://www.frontiersin.org/research-topics/11157/

“Pursuing quality education in Physical and Rehabilitation Medicine “ https://www.frontiersin.org/research-topics/23715/

“Electromyography (EMG) Techniques for the Assessment and Rehabilitation of Motor Impairment Following Stroke” https://www.frontiersin.org/research-topics/5033/

Other related material:

Merletti R., Temporiti F., Gatti R., Gupta S., Sandrini G., Serrao M. Translation of Surface Electromyography to Clinical and Motor Rehabilitation Applications: The Need for New Clinical Figures. Translational Neuroscience. 2023;14(1):20220279. https://doi.org/10.1515/tnsci-2022-0279 Open access.

“Resources” in www.isek.org

Teaching material prepared within the EU Project TEACH in Biomechanics: https://Teacherasmusplus.eu/news and https://teach.ibv.org

“Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors.” https://www.mdpi.com/1424-8220/22/11/4150 https://www.mdpi.com/journal/sensors/special_issues/Teaching_sensors

"Electromyography (EMG) Signal Acquisition and Processing" https://www.mdpi.com/journal/sensors/special_issues/EMG_signal_acquisition_processing

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