Evidence map›Paper›PMID 33271057›Full record

Trial reportSoft robotics2022

An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke.

Chingyi Nam, Wei Rong, Waiming Li, Chingyee Cheung, Wingkit Ngai, Tszching Cheung, Mankit Pang, Li Li, Junyan Hu, Honwah Wai and 1 more

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Soft robotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Upper limb soft robotic wearable devices: a systematic review.Journal of neuroengineering and rehabilitation · 2022
    Pooled it
  4. Trial
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  17. Rehabilitation of Cardiovascular Diseases in China.Journal of geriatric cardiology : JGC · 2024
    Article
  18. Soft pneumatic actuators for pushing fingers into extension.Journal of neuroengineering and rehabilitation · 2024
    Article
  19. Article
  20. 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

11 authors at 1 institution in 1 country.

Chingyi NamDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Wei RongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Waiming LiDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Chingyee CheungDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Wingkit NgaiIndustrial Centre, The Hong Kong Polytechnic University, Hong Kong, China.
Tszching CheungIndustrial Centre, The Hong Kong Polytechnic University, Hong Kong, China.
Mankit PangIndustrial Centre, The Hong Kong Polytechnic University, Hong Kong, China.
Li LiInstitute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China.
Junyan HuInstitute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China.
Honwah WaiIndustrial Centre, The Hong Kong Polytechnic University, Hong Kong, China.
Xiaoling HuDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Hong Kong Polytechnic University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that integrates the neuromuscular electrical stimulation (NMES), soft pneumatic muscle, and exoskeleton techniques, for self-help upper limb training after stroke. The developed system can assist the elbow, wrist, and fingers to perform sequential arm reaching and withdrawing tasks under voluntary effort control through EMG, with a lightweight, compact, and low-power requirement design. The pressure/torque transmission properties of the designed musculoskeletons were quantified, and the assistive capability of the developed system was evaluated on patients with chronic stroke (

Indexed as

RoboticsStrokeStroke RehabilitationHumansUpper ExtremityWrist Jointexoskeletonneuromuscular electrical stimulationpneumatic musclerobotstroke rehabilitation

Identifiers

PMID33271057
PMCPMC8885439
OpenAlexW3107214261

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.