Online-compatible EMG onset detection: benchmarking common detectors under large signal variability
Introduction Muscle activation timing is commonly used inbiomechanics to analyse motor control strategies andinfer movement intent (e.g., to trigger assistivedevices). Indeed, because of the electromechanicaldelay (EMD), surface electromyogram (EMG) canprecede force and motion by tens of milliseconds.However, robust online onset detection remainsdifficult under real-life variability: a fixed parameterset must cover a wide working range, while causalprocessing adds delay and makes rejection oferroneous detections more challenging (Carvalho et al.2023). Moreover, most detectors are evaluated offline,and validation protocols vary widely, whichcomplicates comparisons across studies (Carvalho etal. 2023).[…]
Authors
- Gauthier Desmyttere (ORCID: https://orcid.org/0000-0002-9161-9268)
- Gilles Dusfour (ORCID: https://orcid.org/0000-0002-1388-3135)
- Christian Jørgensen (ORCID: https://orcid.org/0000-0001-6947-8094)
- Louise Scherrer
- Abderrahmane Kheddar (ORCID: https://orcid.org/0000-0001-9033-9742)
- Sofiane Ramdani
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Université de Montpellier (FR)
- Centre Hospitalier Universitaire de Montpellier (FR)
- Institute for Regenerative Medicine & Biotherapy (FR)
- Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)
- IMT Mines Alès (FR)
Publication Details
- Journal
- Multidisciplinary Biomechanics Journal
- Published
- 2026-10-26
- DOI
- https://doi.org/10.46298/mbj.19201
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00