Optimal control-driven functional electrical stimulation: A PRISMA-ScR scoping review
Optimal control-driven FES can produce accurate motions and reduce fatigue. Yet clinical adoption is slowed down by the lack of consensus on modeling approaches, inconvenient model identification protocols and limited validation. Additional barriers include insufficient open-science practices, inconsistent computational performance reporting and limited customizable commercial hardware availability. Comparative FES model studies and longitudinal trials with large cohorts, among other efforts, are required to improve the technology readiness level. Such advances would help clinical adoption and improve patient outcomes.
Authors
- Mickaël Begon (ORCID: https://orcid.org/0000-0002-4107-9160)
- François Bailly (ORCID: https://orcid.org/0000-0002-7737-8269)
- Florent Moissenet (ORCID: https://orcid.org/0000-0001-6479-1911)
- Kevin Co (ORCID: https://orcid.org/0009-0009-0248-3548)
Institutions
- University of Geneva (CH)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Université de Montpellier (FR)
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- University Hospital of Geneva (CH)
- Geneva College (US)
- Université de Montréal (CA)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.111311
- Citations
- 2
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Fonds de recherche du Québec – Nature et technologies