Department of Exercise Science, Olympic Training and Testing Center of Hessen, Frankfurt am Main, Germany.
Department of Artificial Intelligence in Biomedical Engineering, Neuromuscular Physiology and Neural Interfacing Group, Friedrich-Alexander University, Erlangen-Nürnberg, Germany.
Appl Physiol Nutr Metab. 2024 Apr 1;49(4):547-553. doi: 10.1139/apnm-2023-0354. Epub 2023 Dec 15.
Several methods are in use to record and analyze neuronal activation, each with specific advantages and challenges. New developments like the decomposition of high-density surface electromyography (HDsEMG) have enabled novel insights into discharge characteristics noninvasively in laboratory settings but face certain challenges to be applied in sports physiology in a broader scope. Several challenges can be accounted for by methodological considerations, others require further technological developments to allow this technology to be used in more applied settings. This paper aims to describe the developments of surface electromyography and identify the challenges and perspectives of HDsEMG in the context of an application in sports physiology. We further discuss methodological possibilities to overcome some of the challenges to investigate specific research questions and identify areas that require further advancements.
有几种方法可用于记录和分析神经元激活，每种方法都有其特定的优势和挑战。像高密度表面肌电图 (HDsEMG) 的分解这样的新发展使得在实验室环境中能够无创地深入了解放电特性，但在更广泛的运动生理学领域应用仍面临一些挑战。一些挑战可以通过方法学考虑来解决，其他挑战则需要进一步的技术发展，以使这项技术能够在更多的应用环境中使用。本文旨在描述表面肌电图的发展，并确定 HDsEMG 在运动生理学应用中的挑战和前景。我们进一步讨论了克服某些挑战的方法学可能性，以研究特定的研究问题，并确定需要进一步发展的领域。
