Evidence map›Paper›PMID 33403122›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

An open source graphical user interface for wireless communication and operation of wearable robotic technology.

Luke A Tucker, Ji Chen, Lauren Hammel, Diane L Damiano, Thomas C Bulea

Open access · diamondAbstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Interleaved Assistance and Resistance for Exoskeleton Mediated Gait Training: Validation, Feasibility and Effects.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2022
    Article
  2. Article
  3. Exoskeleton Assistance Improves Crouch during Overground Walking with Forearm Crutches: A Case Study.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics
    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

5 authors at 1 institution in 1 country.

Luke A TuckerFunctional & Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Ji ChenFunctional & Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Lauren HammelFunctional & Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Diane L DamianoFunctional & Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.
Thomas C BuleaFunctional & Applied Biomechanics Section, Rehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-2732-8255
National Institutes of Health Clinical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWearable robotic exoskeletons offer the potential to move gait training from the clinic to the community thereby providing greater therapy dosage in more naturalistic settings. To capitalize on this potential, intuitive and robust interfaces are necessary between robotic devices and end users. Such interfaces hold great promise for research if they are also designed to record data from the robot during its use.

methodsWe present the design and validation of an open source graphical user interface (GUI) for wireless operation of and real-time data logging from a pediatric robotic exoskeleton. The GUI was designed for trained users such as an engineer or clinician. A simplified mobile application is also provided to enable exoskeleton operation by an end-user or their caretaker. GUI function was validated during simulated walking with the exoskeleton using a motion capture system.

resultsOur results demonstrate the ability of the GUI to wirelessly operate and save data from exoskeleton sensors with high fidelity comparable to motion capture.

conclusionThe GUI code, available in a public repository with a detailed description and step-by-step tutorial, is configurable to interact with any robotic device operated by a microcontroller and therefore represents a potentially powerful tool for deployment and evaluation of community based robotics.

Indexed as

exoskeletongait rehabilitationGraphical user interfacerehabilitation robotics

Identifiers

PMID33403122
PMCPMC7739088
OpenAlexW3111602521

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.