Evidence map›Paper›PMID 42536753›Full record

ArticleScience advances2026

A motoneuron discharge-driven interface realizing simultaneous and proportional control of prosthetics in end-users.

Chen Chen, Ruye Guo, Dongxuan Li, Shang Shi, Weichao Guo, Jianjun Meng, Guoying Gu, Xiangyang Zhu

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Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chen ChenState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China.ORCID 0000-0002-3007-4364
Ruye GuoState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China.ORCID 0009-0003-3694-9007
Dongxuan LiState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China.ORCID 0000-0001-5504-8296
Shang ShiState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China.ORCID 0009-0006-8798-7566
Weichao GuoShanghai Key Laboratory of Intelligent Robotics, Shanghai Jiao Tong University, Shanghai, P. R. China.
Jianjun MengState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China.ORCID 0000-0003-0813-652X
Guoying GuState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China.ORCID 0000-0002-7778-4523
Xiangyang ZhuState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China.ORCID 0000-0003-4914-6636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial LimbsMotor NeuronsUser-Computer InterfaceAmputeesElectromyographyHumansMaleMovementMuscle, Skeletal

Identifiers

PMID42536753
PMCPMC13426415

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.