Evidence map›Paper›PMID 32413247›Full record

ReviewMuscle & nerve2020

The future of upper extremity rehabilitation robotics: research and practice.

Philip P Vu, Cynthia A Chestek, Samuel R Nason, Theodore A Kung, Stephen W P Kemp, Paul S Cederna

Abstract readReview
In one paragraph

Review in Muscle & nerve, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Preliminary Investigation of Myoelectric Control of an Assistive Neck Exoskeleton by Individuals With Amyotrophic Lateral Sclerosis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. The neural mechanisms of manual dexterity.Nature reviews. Neuroscience · 2021
    Review
  10. 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.

Philip P VuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Cynthia A ChestekDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Samuel R NasonDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Theodore A KungSection of Plastic Surgery, University of Michigan, Ann Arbor, Michigan.
Stephen W P KempDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.
Paul S CedernaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.

Funding

Regenerative Peripheral Nerve Interface for Restoring Individual Finger Movement in People with Upper Limb AmputationsR01NS105132 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHESTEK, CYNTHIA ANNE · 2018 to 2022
$2.1M
Regenerative Peripheral Nerve Interfaces Using Composite Free Muscle and Dermal ConstructsR21NS104584 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KEMP, STEPHEN WILLIAM PETER · 2017 to 2018
$427k
Reanimating paralyzed hands using an implantable, brain-controlled functional electrical stimulation neuroprosthesisF31HD098804 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NASON-TOMASZEWSKI, SAMUEL ROSS · 2019 to 2021
$108k
NICHD NIH HHS F31 HD098804NINDS NIH HHS R01 NS105132NINDS NIH HHS R21 NS104584
6 · The paper itself

Abstract

The loss of upper limb motor function can have a devastating effect on people's lives. To restore upper limb control and functionality, researchers and clinicians have developed interfaces to interact directly with the human body's motor system. In this invited review, we aim to provide details on the peripheral nerve interfaces and brain-machine interfaces that have been developed in the past 30 years for upper extremity control, and we highlight the challenges that still remain to transition the technology into the clinical market. The findings show that peripheral nerve interfaces and brain-machine interfaces have many similar characteristics that enable them to be concurrently developed. Decoding neural information from both interfaces may lead to novel physiological models that may one day fully restore upper limb motor function for a growing patient population.

Indexed as

AmputeesBiomedical ResearchBrain-Computer InterfacesForecastingHumansRoboticsSpinal Cord InjuriesUpper Extremitybrain-machine interfaceselectrophysiologyneural decodingneuroprostheticsperipheral nerve interfacesrehabilitation robotics

Identifiers

PMID32413247
PMCPMC7868083

What OpenQuestion holds

Textmetadata
LicenceTDM
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.