Evidence map›Paper›PMID 36016055›Full record

ArticleSensors (Basel, Switzerland)2022

A Novel Wearable Soft Glove for Hand Rehabilitation and Assistive Grasping.

Yinlong Zhu, Weizhuang Gong, Kaimei Chu, Xu Wang, Zhiqiang Hu, Haijun Su

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Analyzing and Assisting Finger Motions for Spoon Scooping.Biomimetics (Basel, Switzerland) · 2025
    Article
  6. Article
  7. 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.

Yinlong ZhuCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0003-4574-3900
Weizhuang GongCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Kaimei ChuCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Xu WangCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0002-0680-6908
Zhiqiang HuState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, China.
Haijun SuDepartment of Mechanical and Aerospace Engineering, Ohio State University, Columbus, OH 43210, USA.

Funding

High level talent project of "six talent peaks" in Jiangsu Province GDZB-024Jiangsu Government Scholar for Overseas Studies JS-2016-62National Natural Science Foundation of China 51305209Natural science research projects in Jiangsu Universities 18KJA4600050Natural science research projects in Jiangsu Universities 21KJB460010Open project of National Key Laboratory of Robotics 2018-016Youth science and technology innovation fund of Nanjing Forestry University CX2019009
6 · The paper itself

Abstract

In order to assist patients with finger rehabilitation training and grasping objects, we propose a new type of soft rehabilitation gloves (SRGs), which has both flexion/extension and abduction/adduction movement function for every finger. This paper describes the structure design of the bending actuator and rotating actuator, the fabrication process of the soft actuator, and the implementation of the soft wearable gloves based on a fabric glove. FEM simulation analysis and experiments were conducted to characterize the mechanical behavior and performance of the soft glove in terms of the angle output and force output upon pressurization. To operate this soft wearable glove, we designed the hardware system for SRGs with a flexible strain sensor and force sensor in the loop and introduced a force/position hybrid PID control algorithm to regulate the pressure inputted. Experiment evaluation focused on rehabilitation training gestures; motions and the precise grasping assistance function were executed. The rotating actuator between each finger can supply abduction/adduction motion manner for patients, which will improve rehabilitation effect. The experimental results demonstrated that the developed SRGs have the potential to improve hand movement freedom and the range of grasping successfully.

Indexed as

RoboticsWearable Electronic DevicesFingersHandHand StrengthHumanssoft actuatorsoft rehabilitation glovessoft robotwearable devices

Identifiers

PMID36016055
PMCPMC9413206

What OpenQuestion holds

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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.