{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T05:16:39Z","timestamp":1788498999304,"version":"build-2803163510"},"reference-count":37,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Istituto di Neuroscienze Cliniche della Svizzera Italiana"},{"name":"University of Applied Sciences and Arts of Southern Switzerland"},{"id":[{"id":"https:\/\/ror.org\/05ep8g269","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>High-density surface electromyography (HD-sEMG) enables non-invasive analysis of motor unit (MU) behavior and is crucial in rehabilitation, pathophysiological assessment, and assistive technologies. However, current pipelines still rely on expert intervention, particularly for spike-train editing and channel selection for motor unit conduction velocity (MUCV) estimation. This study developed and validated an automated pipeline for MU analysis from HD-sEMG signals acquired during isometric trapezoidal contractions. The pipeline integrates blind source separation (BSS)-based decomposition, automated source validation and spike-train selection, estimation of discharge rate (DR), recruitment threshold (RT), and automatic channel selection for MUCV. Validation was first performed on a public dataset containing manually edited spike trains from eight operators. The proposed procedure matched 106 of 135 reference MUs with an overall median rate of agreement of 0.98 among matched MUs. Sensitivity analysis supported the robustness of the predefined parameters. The complete pipeline was then evaluated on 276 HD-sEMG signals acquired from the tibialis anterior (TA) muscle of nine healthy volunteers in four sessions using a custom-built acquisition device. The resulting MU parameters were physiologically plausible, and within-session tracking showed high repeatability of MU properties even after electrode repositioning. Validation was limited to healthy volunteers, and further evaluation in clinical populations is needed. These findings support the feasibility of reducing operator dependency while maintaining the quality of HD-sEMG-based MU analysis.<\/jats:p>","DOI":"10.3390\/s26175539","type":"journal-article","created":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T03:19:26Z","timestamp":1788232766000},"page":"5539","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Validation of an Automated Pipeline for Motor Unit Analysis from HD-sEMG Signals"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6821-369X","authenticated-orcid":false,"given":"Maria V.","family":"Arteaga","sequence":"first","affiliation":[{"name":"Institute of Systems and Applied Electronics (ISEA), University of Applied Sciences and Arts of Southern Switzerland (SUPSI), 6900 Lugano, Switzerland"},{"name":"Faculty of Biomedical Sciences, Universit\u00e0 della Svizzera Italiana, 6900 Lugano, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2315-5692","authenticated-orcid":false,"given":"Catalina","family":"Alvarado-Rojas","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering, Pontificia Universidad Javeriana, Bogot\u00e1 110231, Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5249-073X","authenticated-orcid":false,"given":"Alain","family":"Kaelin-Lang","sequence":"additional","affiliation":[{"name":"Faculty of Biomedical Sciences, Universit\u00e0 della Svizzera Italiana, 6900 Lugano, Switzerland"},{"name":"Neurocenter of Southern Switzerland, EOC, 6900 Lugano, Switzerland"},{"name":"Medical Faculty, University of Bern, 3008 Bern, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8762-792X","authenticated-orcid":false,"given":"Daniele","family":"Allegri","sequence":"additional","affiliation":[{"name":"Institute of Systems and Applied Electronics (ISEA), University of Applied Sciences and Arts of Southern Switzerland (SUPSI), 6900 Lugano, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Barbero, M., Merletti, R., and Rainoldi, A. 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