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.