Evidence map›Paper›PMID 41744550›Full record

ReviewBiomimetics (Basel, Switzerland)2026

Review of Soft Robotic Gloves and Functional Electrical Stimulation Affecting Hand Function Rehabilitation for Stroke Patients.

Xiaohui Wang, Yilin Fang, Zhaowei Zhang, Xingang Zhao, Dezhen Xiong, Junlin Li

Abstract readReview
In one paragraph

Review in Biomimetics (Basel, Switzerland), 2026. 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. Architected Load Paths Enable Stiffening and Motion Programming in Soft Pneumatic Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

6 authors.

Xiaohui WangState Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.ORCID 0009-0005-9055-4799
Yilin FangState Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
Zhaowei ZhangState Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.ORCID 0000-0002-7602-045X
Xingang ZhaoState Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
Dezhen XiongState Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.ORCID 0000-0003-3842-6376
Junlin LiState Key Laboratory of Robotics and Intelligent Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.ORCID 0000-0003-0456-3778

Funding

the 1063 Postdoctoral Fellowship Program of CPSF GZC20251192the Fundamental Research 1062 Project of SIA 2024JC3K01the National Natural Science Foundation of China 62503462the Strategic Priority Research Program on Space 1061 Science of the Chinese Academy of Sciences XDA1502030505
6 · The paper itself

Abstract

Stroke often results in impaired hand motor function, making effective hand rehabilitation essential for restoring activities of daily living (ADLs). Motor rehabilitation and neurorehabilitation are two major pathways to functional recovery. Rehabilitation gloves have proven to be effective tools for motor rehabilitation, and among them, soft robotic gloves (SRGs) have emerged as a research focus due to their lightweight design and inherent safety. Functional electrical stimulation (FES), which applies electrical currents to muscles and nerves, shows promise in promoting motor neural reorganization and restoring muscle strength in the hands of stroke survivors. The technologies applied to hand rehabilitation must possess the characteristics of safety, comfort, and practicality, while overcoming critical challenges such as portability, user-friendliness, and wearability. Motivated by the rehabilitation needs of post-stroke patients, this paper reviews recent advances in SRGs, FES, and hybrid hand rehabilitation systems (HHRSs) for hand rehabilitation, systematically examining progress in actuation strategies, intention sensing, and control algorithms across these three technologies. Furthermore, the limitations and technical challenges of current HHRSs are analyzed and four key future research directions are identified to pave the way for further development in this field.

Indexed as

functional electrical stimulationhand rehabilitationhybrid hand rehabilitation systemsoft robotic glovestroke

Identifiers

PMID41744550
PMCPMC12937763

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.