Evidence map›Paper›PMID 35755722›Full record

ArticleComputational intelligence and neuroscience2022

Design of a Smart Elbow Brace as a Home-Based Rehabilitation Device.

Ramadhan Rashid Said, Wang Quan Yong, Md Belal Bin Heyat, Liaqat Ali, Song Qiang, Arif Ali, Hafiz Tayyab Rauf, Zhe Wu

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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

8 authors at 5 institutions in 4 countries.

Ramadhan Rashid SaidSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0002-6211-2740
Wang Quan YongSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Md Belal Bin HeyatIoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0001-5307-9582
Liaqat AliDepartment of Electrical Engineering, University of Science and Technology Bannu, Bannu, Pakistan.ORCID https://orcid.org/0000-0002-3095-7271
Song QiangChengdu Technology University, Chengdu, China.
Arif AliDepartment of Computer Science, University of Science and Technology Bannu, Bannu, Pakistan.ORCID https://orcid.org/0000-0002-9998-9183
Hafiz Tayyab RaufCentre for Smart Systems, AI and Cybersecurity, Staffordshire University, Stoke-on-Trent, UK.
Zhe WuSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0000-0002-3048-9615
University of Electronic Science and Technology of China · CNUniversity of Science and Technology Bannu · PKChengdu University of Technology · CNShenzhen University · CNUniversity of Staffordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poststroke and traumatic elbow injuries are the most common cause of elbow stiffness, which results in loss of functional range of motion (ROM). Various studies support early mobilization of the elbow joint after injury or after surgery to reduce risks of elbow stiffness development. After hospitalization, patients are required to follow a long-term rehabilitation program during home recovery. Still, most patients do not adhere to their clinical therapy schedule due to either rehabilitation cost, social obligations, negligence, or lack of inspiration. Moreover, the numbers of therapists and assessment equipment are insufficient. This study introduces a smart elbow brace (SEB) as a home-based rehabilitation device that reduces regular in-patient rehabilitation costs and therapist workload and motivates patients to comply with the rehabilitation program that enhances the achievement of rehabilitation goals. Our device has two active degrees of freedom (2-DoF) that allow extension, flexion, pronation, and supination elbow motions. An extra sliding joint between forearm and wrist is added, which helps dump forces concentration at the elbow joint during extension-flexion movement. Mechanical design requirements, motion-tracking systems, and serious game development are described. The feasibility of a proposed SEB device is tested with five healthy subjects playing developed serious games with the device. The results show that subjects can attain maximum and minimum angles of flexion-extension and pronation-supination motion designed for elbow stiffness rehabilitation. The SEB device will be beneficial and be used at home as a complementary tool to support elbow stiffness rehabilitation during long-term home recovery.

Indexed as

ElbowElbow InjuriesElbow JointHumansMovementRange of Motion, ArticularUpper Extremity

Identifiers

PMID35755722
PMCPMC9225837
OpenAlexW4283020680

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.