Evidence map›Paper›PMID 40641428›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Upper Limb Motor Function Rehabilitation System Leveraging Pressure-Sensitive Intent Recognition.

Zhiwei Hu, Yongchao Yin, Xiaoli Yang, Hanyang Zhang, Ling Xing, Shiwu Zhang, Xinglong Gong, Ming Wu, Guolin Yun, Shuaishuai Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

10 authors.

Zhiwei HuThe First Affiliated Hospital of USTC, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Institute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230026, China.ORCID https://orcid.org/0009-0004-7828-5998
Yongchao YinCAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230026, China.ORCID https://orcid.org/0009-0002-5787-8116
Xiaoli YangThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Hanyang ZhangThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Ling XingThe First Affiliated Hospital of USTC, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Institute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Shiwu ZhangThe First Affiliated Hospital of USTC, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Institute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Xinglong GongCAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230026, China.
Ming WuThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Guolin YunCAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui, 230026, China.ORCID https://orcid.org/0000-0001-5457-3777
Shuaishuai SunThe First Affiliated Hospital of USTC, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Institute of Humanoid Robots, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230026, China.ORCID https://orcid.org/0000-0002-8695-9217

Funding

Health Research Program of Anhui AHWJ2023A10123Major Project of Anhui Province's Science and Technology Innovation Breakthrough Plan 202423h08050003National Natural Science Foundation of China 52105081National Natural Science Foundation of China U21A20119USTC Research Funds of the Double First-Class Initiative YD2090002501
6 · The paper itself

Abstract

Functional electrical stimulation (FES) enhances daily living and rehabilitation outcomes for stroke patients but faces challenges in intention recognition, individual adaptability, and closed-loop control. To address these, a reconstruction system is presented for upper limb motor function, employing highly pressure-sensitive liquid metal magnetorheological elastomers (LMMRE） to detect muscle surface pressure. It can dynamically modulate functional electrical stimulation based on muscle force signals, enabling continuous execution of wrist movements for stroke patients. The system markedly improves patient mobility, with wrist lifting angles increased from 14° to 47°, and lifting speed nearly doubled. Clinical trials confirm the system's superior efficacy in promoting motor recovery and reducing muscle spasms. Moreover, functional near-infrared spectroscopy highlights enhanced brain activity and promotes reconstruction of damaged neural pathways during LMMRE-FES therapy compared with the conventional electrical stimulation. This system holds immense potential for advancing stroke rehabilitation, paving the way for portable, wearable devices optimized for home-based care.

Indexed as

Electric Stimulation TherapyStroke RehabilitationUpper ExtremityFemaleHumansMaleMiddle AgedPressureRecovery of FunctionStrokeforce‐sensitive compositefunctional electrical stimulationintention recognitionmotor function reconstruction systempost‐stroke patientrehabilitation

Identifiers

PMID40641428
PMCPMC12442654

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.