Authors
Chen Chen, Ruye Guo, Dongxuan Li, Shang Shi, Weichao Guo, Jianjun Meng, Guoying Gu, Xiangyang Zhu
Published in
Science advances. Volume 12. Issue 31. Pages eaej0245. Jul 31, 2026. Epub Jul 31, 2026.
Abstract
Accurate decoding of movement intent from muscle signals is essential for dexterous prosthetic control. While motoneuron discharge decomposition provides a promising approach, most studies are confined to proof-of-concept demonstrations due to the lack of robust, dexterous control strategies, and the complexity of systems involved. Here, we present a motoneuron discharge-driven interface that integrates wireless recording of high-density surface electromyography, real-time motoneuron spike train decomposition, continuous multi-degree-of-freedom (DoF) motion decoding in a prosthetic system, enabling simultaneous and proportional myoelectric control in real-world settings. We validated this system with six trans-radial amputees across a series of functional multi-DoF tasks. The proposed interface achieved accurate and robust control of three-DoF wrist and hand movements, outperforming conventional myoelectric methods in task efficiency. Furthermore, the interface requires only single-DoF calibration data, minimizing user training burden. This study represents the practical demonstration of motoneuron-driven interfacing in end-user applications, highlighting its translational potential for clinical adoption.
PMID:
42536753
Bibliographic data and abstract were imported from PubMed on 01 Aug 2026.
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