Translation of surface electromyography to clinical and motor rehabilitation applications: The need for new clinical figures.

ABSTRACT: Advanced sensors/electrodes and signal processing techniques provide powerful tools to analyze surface electromyographic signals (sEMG) and their features, to decompose sEMG into the constituent motor unit action potential trains, and to identify synergies, neural muscle drive, and EEG-sEMG coherence. However, despite thousands of articles, dozens of textbooks, tutorials, consensus papers, and European and International efforts, the translation of this knowledge into clinical activities and assessment procedures has been very slow, likely because of lack of clinical studies and competent operators in the field. Understanding and using sEMG-based hardware and software tools requires a level of knowledge of signal processing and interpretation concepts that is multidisciplinary and is not pr

SUBMITTER: Merletti R 

PROVIDER: S-EPMC10024349 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature