A Compositional Calibration Framework for Multi-Channel Functional Electrical Stimulation Enabling Hand Gesture Generation
The application of functional electrical stimulation (FES) to restore hand motor function remains challenging due to the difficulty of calibrating multi-channel stimulation to produce coordinated finger movements. This study proposes a compositional FES calibration framework to customize the stimulation of isolated finger actions and enable their combination into functional hand gestures. The proposed method was validated through a two-session experimental study involving thirteen participants. In the first session, subject-specific stimulation sites and parameters were identified for eight individual finger movements using a structured spatial grid defined over the forearm. The second session, conducted on a subset of five participants, evaluated the generation of seven hand gestures derived from combinations of the isolated movements. Results showed that ten of the thirteen participants achieved at least six movements, while three participants successfully elicited all targeted motions. Successfully elicited movements were generally well isolated, although thumb and ring/little finger extensions proved more difficult to isolate. The second session demonstrated that individually calibrated finger activations can be combined to produce coordinated multi-finger movement patterns, with average finger excursions matching the expected motions. Overall, these preliminary results support the use of compositional calibration strategies to achieve functional multi-finger control with multi-channel FES.
Authors
- Danilo Demarchi (ORCID: https://orcid.org/0000-0001-5374-1679)
- Fábio Rossi (ORCID: https://orcid.org/0000-0001-8525-3477)
- Andrea Prestia (ORCID: https://orcid.org/0000-0002-7426-539X)
- Nicolò Landra (ORCID: https://orcid.org/0000-0003-2012-5356)
- Andrea Mongardi (ORCID: https://orcid.org/0000-0003-2747-6167)
- Paolo Motto Ros (ORCID: https://orcid.org/0000-0002-6955-3098)
- Elena Stefanel
Institutions
- Politecnico di Torino (IT)
Publication Details
- Journal
- Bioengineering
- Published
- 2026-06-18
- DOI
- https://doi.org/10.3390/bioengineering13060701
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00