Evidence map›Paper›PMID 34442492›Full record

ArticleMicromachines2021

Design and Development of an Upper Limb Rehabilitative Robot with Dual Functionality.

Md Rasedul Islam, Md Assad-Uz-Zaman, Brahim Brahmi, Yassine Bouteraa, Inga Wang, Mohammad Habibur Rahman

Abstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Md Rasedul IslamRichard J. Resch School of Engineering, University of Wisconsin-Green Bay, Green Bay, WI 54311, USA.ORCID 0000-0003-2677-930X
Md Assad-Uz-ZamanMechanical/Biomedical Engineering Department, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Brahim BrahmiElectrical and Computer Engineering, Miami University, Oxford, OH 45056, USA.ORCID 0000-0002-4486-0710
Yassine BouteraaDepartment of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.ORCID 0000-0001-8785-3513
Inga WangCollege of Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Mohammad Habibur RahmanMechanical/Biomedical Engineering Department, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design of an upper limb rehabilitation robot for post-stroke patients is considered a benchmark problem regarding improving functionality and ensuring better human-robot interaction (HRI). Existing upper limb robots perform either joint-based exercises (exoskeleton-type functionality) or end-point exercises (end-effector-type functionality). Patients may need both kinds of exercises, depending on the type, level, and degree of impairments. This work focused on designing and developing a seven-degrees-of-freedom (DoFs) upper-limb rehabilitation exoskeleton called 'u-Rob' that functions as both exoskeleton and end-effector types device. Furthermore, HRI can be improved by monitoring the interaction forces between the robot and the wearer. Existing upper limb robots lack the ability to monitor interaction forces during passive rehabilitation exercises; measuring upper arm forces is also absent in the existing devices. This research work aimed to develop an innovative sensorized upper arm cuff to measure the wearer's interaction forces in the upper arm. A PID control technique was implemented for both joint-based and end-point exercises. The experimental results validated both types of functionality of the developed robot.

Indexed as

dual functionalityend effectorexoskeletonrehabilitationsensorized cuffupper arm forcesupper limb

Identifiers

PMID34442492
PMCPMC8400039

What OpenQuestion holds

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Registered trials

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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.