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Peer-reviewedCC BY 4.0Multidisciplinary Biomechanics Journal

Online-compatible EMG onset detection: benchmarking common detectors under large signal variability

Abstract

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).[…]

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BibTeX
@article{scherrer2026onlinecompatible,
  title = {{Online-compatible EMG onset detection: benchmarking common detectors under large signal variability}},
  author = {Louise Scherrer and Abderrahmane Kheddar and Gauthier Desmyttere and Gilles Dusfour and Christian Jorgensen and Sofiane Ramdani},
  journal = {Multidisciplinary Biomechanics Journal},
  year = {2026},
  month = oct,
  doi = {10.46298/mbj.19201},
  url = {https://hal.science/hal-05738115v2},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Online-compatible EMG onset detection: benchmarking common detectors under large signal variability
AU  - Louise Scherrer
AU  - Abderrahmane Kheddar
AU  - Gauthier Desmyttere
AU  - Gilles Dusfour
AU  - Christian Jorgensen
AU  - Sofiane Ramdani
PY  - 2026
DA  - 2026/10/26
JO  - Multidisciplinary Biomechanics Journal
DO  - 10.46298/mbj.19201
UR  - https://hal.science/hal-05738115v2
AB  - 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).[…]
SN  - 3076-1158
ER  -