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This research aims to decode neural signals from forearm muscles using an advanced microelectrode array system.

April 26, 2026Interface FocusOpen Access

Intramuscular microelectrode arrays enable highly accurate neural decoding of finger tasks

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Randomized trial demonstrates high accuracy in neural decoding of finger tasks, suggesting enhanced assistive technology control.

This research aims to decode neural signals from forearm muscles using an advanced microelectrode array system.
Developed a neuromuscular recording system with over 100 channels embedded in forearm muscles.
Conducted recordings of intramuscular activity during single- and multi-digit contractions in two healthy participants.
Analyzed motoneuron recruitment patterns and achieved classification accuracy for various tasks.
Achieved perfect classification accuracy (100%) for 12 single- and multi-digit tasks.
Attained approximately 96% accuracy for up to 16 tasks, outperforming existing electromyogram methods.
Demonstrated advancement in neural interfacing with potential improvements in human-computer interaction.

Grison et al. (2026) studied this question.

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