Reliability of individual finger force prediction from electromyographic signals recorded from surface arrays: Implications for assistive device use | Synapse
March 6, 2026Open Access
Reliability of individual finger force prediction from electromyographic signals recorded from surface arrays: Implications for assistive device use
Key Points
The research aims to evaluate the reliability of predicting finger force using electromyographic signals for assistive device operation.
Recorded electromyographic signals from surface arrays over multiple days.
Assessed performance consistency across days and electrode loss.
Analyzed the correlation between predicted finger force and actual force applied.
Demonstrated consistent prediction of finger force across multiple days.
Showed resilience to loss of electrodes without significant performance degradation.
Supported the feasibility of using neural-drive approaches for assistive device control.
Abstract
These findings suggest robust multi-day performance and resilience to electrode loss, thereby supporting the use of neural-drive-based approaches for continuous user control of assistive devices.