Reliability of individual finger force prediction from electromyographic signals recorded from surface arrays: Implications for assistive device use

Rinku Roy; Alexander Hiatt Sprague; Abolfazl Shahrooei; Xiaogang Hu; Derek Kamper

doi:10.1088/1741-2552/ae4ccb

March 3, 2026Journal of Neural EngineeringOpen Access

Reliability of individual finger force prediction from electromyographic signals recorded from surface arrays: Implications for assistive device use

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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.

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Implication

Findings demonstrate robust finger force prediction in assistive devices, indicating high reliability for continuous user 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.

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Cite This Study

Roy et al. (2026) studied this question.

synapsesocial.com/papers/69aa6eb1531e4c4a9ff58fdc https://doi.org/10.1088/1741-2552/ae4ccb

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Reliability of individual finger force prediction from electromyographic signals recorded from surface arrays: Implications for assistive device use

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Reliability of individual finger force prediction from electromyographic signals recorded from surface arrays: Implications for assistive device use

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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