Evidence map›Paper›PMID 39935595›Full record

ArticleWearable technologies2025

An interactive soft robotic hand-task training system with wireless task boards and daily objects on post-stroke rehabilitation.

Xiangqian Shi, Chengyu Yang, Pak Chung Lee, Disheng Xie, Zhongping Ye, Zheng Li, Raymond Kai-Yu Tong

Abstract read
In one paragraph

Article in Wearable technologies, 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. Article
  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

7 authors.

Xiangqian ShiDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chengyu YangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Pak Chung LeeHopebotic Limited, Hong Kong SAR, China.
Disheng XieDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Zhongping YeDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Zheng LiDepartment of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.
Raymond Kai-Yu TongDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0003-4375-653X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed an interactive system comprising a soft wearable robot hand and a wireless task board, facilitating the interaction between the hand and regular daily objects for task-oriented training in stroke rehabilitation. A ring-reinforced soft actuator (RSA) to accommodate different hand sizes and enable flexion and extension movements was introduced in this paper. Individually controlled finger actuators assist stroke patients during various grasping tasks. A wireless task board was developed to support the training, allowing for the placement of training objects and seamless interaction with the soft robotic hand. Evaluation with seven stroke subjects shows significant improvements in upper limb functions (FMA), hand-motor abilities (ARAT, BBT), and maximum grip strengths after 20 sessions of this task-oriented training. These improvements were observed to persist for at least 3 months post-training. The results demonstrate its potential to enhance stroke rehabilitation and promote hand-motor recovery. This lightweight, user-friendly interactive system facilitates frequent hand practice and easily integrates into regular rehabilitation therapy routines.

Indexed as

daily task assistancerobot-assisted therapysoft roboticsstroke rehabilitationtask-oriented training

Identifiers

PMID39935595
PMCPMC11810511

What OpenQuestion holds

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Registered trials

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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.