Evidence map›Paper›PMID 38784668›Full record

ArticleHardwareX2024

Design and testing of fabric-based portable soft exoskeleton glove for hand grasping assistance in daily activity.

Rifky Ismail, Mochammad Ariyanto, Joga D Setiawan, Taufik Hidayat, Paryanto, Limbang K Nuswantara

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in HardwareX, 2024. 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. 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.

Rifky IsmailDepertment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.
Mochammad AriyantoDepertment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.
Joga D SetiawanDepertment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.
Taufik HidayatDepertment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.
ParyantoDepertment of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.
Limbang K NuswantaraProfessional Education of Engineers, Faculty of Engineering, Diponegoro University, Semarang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hand exoskeleton robots have been developed as rehabilitation robots and assistive devices. Based on the material used, they can be soft or hard exoskeletons. Soft materials such as fabric can be used as a component of the wearable robot to increase comfortability. In this paper, we proposed an affordable soft hand exoskeleton based on fabric and motor-tendon actuation for hand flexion/extension motion assistance in daily activities. On-off control and PI compensator were implemented to regulate finger flexion and extension of the soft exoskeleton. The controllers were embedded into a microcontroller using Simulink software. The input signal command comes from the potentiometer and electromyography (EMG) sensor to drive the flexion/extension movement. Based on the experiments, the proposed controller successfully controlled the exoskeleton hand to facilitate a user in grasping various objects. The proposed soft hand exoskeleton is lightweight, comfortable, portable, and affordable, making it easily manufactured using available hardware and open-source code. The developed soft exoskeleton is a potential assistive device for a person who lost the ability to grasp objects.

Indexed as

Assistive deviceFabric-basedHand graspingMotor-tendonSoft glove

Identifiers

PMID38784668
PMCPMC11111837

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.