Evidence map›Paper›PMID 34940252›Full record

ArticleBiosensors2021

An Instrumented Glove-Controlled Portable Hand-Exoskeleton for Bilateral Hand Rehabilitation.

Shih-Hung Yang, Chia-Lin Koh, Chun-Hang Hsu, Po-Chuan Chen, Jia-Wei Chen, Yu-Hao Lan, Yi Yang, Yi-De Lin, Chun-Hung Wu, Hsien-Kuang Liu and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2021. 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
2.1field-weighted citation impact, top 12% of its field
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, 23 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 7 institutions in 2 countries.

Shih-Hung YangDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0001-5893-6299
Chia-Lin KohDepartment of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0002-9927-2553
Chun-Hang HsuDepartment of Electrical Engineering, National Chung Cheng University, Taichung 40227, Taiwan.
Po-Chuan ChenSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Jia-Wei ChenDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
Yu-Hao LanDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
Yi YangDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
Yi-De LinDepartment of Mechanical and Computer-Aided Engineering, Feng Chia University, Taichung 40724, Taiwan.
Chun-Hung WuDepartment of Mechanical and Computer-Aided Engineering, Feng Chia University, Taichung 40724, Taiwan.
Hsien-Kuang LiuDepartment of Mechanical and Computer-Aided Engineering, Feng Chia University, Taichung 40724, Taiwan.
Yu-Chun LoCollege of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan.
Guan-Tze LiuDepartment of Medical Education, Taipei Veterans General Hospital, Taipei 112201, Taiwan.
Chao-Hung KuoDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.ORCID 0000-0001-5528-204X
You-Yin ChenDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
National Yang Ming Chiao Tung University · TWFeng Chia University · TWNational Cheng Kung University · TWGeorgia Institute of Technology · USNational Chung Cheng University · TWTaipei Medical University · TWTaipei Veterans General Hospital · TW

Funding

Ministry of Science and Technology of Taiwan 109-2221-E-010-004-MY2Ministry of Science and Technology of Taiwan 109-2314-B-303-016Ministry of Science and Technology of Taiwan 110-2321-B-010-006Ministry of Science and Technology of Taiwan 110-2636-E-006-021
6 · The paper itself

Abstract

Effective bilateral hand training is desired in rehabilitation programs to restore hand function for people with unilateral hemiplegia, so that they can perform daily activities independently. However, owing to limited human resources, the hand function training available in current clinical settings is significantly less than the adequate amount needed to drive optimal neural reorganization. In this study, we designed a lightweight and portable hand exoskeleton with a hand-sensing glove for bilateral hand training and home-based rehabilitation. The hand-sensing glove measures the hand movement of the less-affected hand using a flex sensor. Thereafter, the affected hand is driven by the hand exoskeleton using the measured hand movements. Compared with the existing hand exoskeletons, our hand exoskeleton improves the flexible mechanism for the back of the hand for better wearing experience and the thumb mechanism to make the pinch gesture possible. We designed a virtual reality game to increase the willingness of repeated movement practice for rehabilitation. Our system not only facilitates bilateral hand training but also assists in activities of daily living. This system could be beneficial for patients with hemiplegia for starting correct and sufficient hand function training in the early stages to optimize their recovery.

Indexed as

Exoskeleton DeviceActivities of Daily LivingHandHemiplegiaHumansMovementbilateral hand traininghand exoskeletonhand-sensing glovevirtual reality game

Identifiers

PMID34940252
PMCPMC8699525
OpenAlexW4200454922

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.