Multi-dimensional characterization and tracking of motor unit action potentials
This study demonstrates that MD representations of MUAP trajectories recorded from high density arrays can more accurately identify MUAPs from the same motor unit, improving motor unit tracking compared with traditional correlation based approaches.
Authors
- Lara McManus (ORCID: https://orcid.org/0000-0002-2255-7382)
- Jérémy Liegey (ORCID: https://orcid.org/0000-0002-1540-4054)
- Madeleine Lowery
Institutions
- University College Dublin (IE)
- Trinity College Dublin (IE)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1088/1741-2552/ae5b26
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Royal Society
- Science Foundation Ireland