Evidence map›Paper›PMID 40648238›Full record

ArticleSensors (Basel, Switzerland)2025

Development and Efficacy Assessment of an Angle Sensor-Integrated Upper Limb Exoskeleton System for Autonomous Rehabilitation Training.

Linshuai Zhang, Xin Tian, Yaqi Fan, Tao Jiang, Shuoxin Gu, Lin Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Linshuai ZhangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Xin TianSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yaqi FanSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Tao JiangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Shuoxin GuSchool of Automation, Chengdu University of Information Technology, Chengdu 610225, China.
Lin XuSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID 0000-0001-8381-244X

Funding

College Students' Innovation and Entrepreneurship Training Project S202410633093National Natural Science Foundation of China 62203071Natural Science Foundation of Sichuan Province 2024NSFSC1425Special Project for Traditional Chinese Medicine Research of Sichuan Administration of Traditional Chinese Medicine 2024zd030
6 · The paper itself

Abstract

In this study, we propose a rehabilitation training system that incorporates active and passive rehabilitation modes to enhance the convenience, efficacy, and safety of rehabilitation training for patients with upper limb hemiplegia. This system facilitates elbow flexion and extension as well as wrist and palm flexion and extension. The experimental results demonstrate that the exoskeleton robot on the affected limb exhibits a rapid response and maintains a highly synchronized movement with the unaffected upper limb equipped with an angle sensor, preserving stability and coordination throughout the movement process without significant delay affecting the overall motion. When the movement of the unaffected upper limb exceeds the predetermined angle threshold, the affected limb promptly initiates a protective mechanism to maintain its current posture. Upon equalization of the angles between the two limbs, the affected limb resumes synchronized movement, thereby ensuring the safety of the rehabilitation training. This research provides some insights into the functional improvements of safe and reliable upper limb exoskeleton rehabilitation training systems.

Indexed as

Exoskeleton DeviceHemiplegiaRehabilitationRoboticsUpper ExtremityHumansMaleMovementRange of Motion, Articularangle sensorfour degrees of freedomself-rehabilitation trainingupper limb exoskeleton

Identifiers

PMID40648238
PMCPMC12252393

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.