Evidence map›Paper›PMID 32151268›Full record

ReviewJournal of neuroengineering and rehabilitation2020

Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review.

Kadir A Yildiz, Alexander Y Shin, Kenton R Kaufman

Abstract readReview
In one paragraph

Review in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Soft, Flexible, and Stretchable Platforms for Tissue-Interfaced Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

3 authors.

Kadir A YildizMotion Analysis Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
Alexander Y ShinDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
Kenton R KaufmanMotion Analysis Laboratory, Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA. kaufman.kenton@mayo.edu.ORCID 0000-0002-7311-3781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of prosthetics has been evolving and advancing over the past decade, as patients with missing extremities are expecting to control their prostheses in as normal a way as possible. Scientists have attempted to satisfy this expectation by designing a connection between the nervous system of the patient and the prosthetic limb, creating the field of neuroprosthetics. In this paper, we broadly review the techniques used to bridge the patient's peripheral nervous system to a prosthetic limb. First, we describe the electrical methods including myoelectric systems, surgical innovations and the role of nerve electrodes. We then describe non-electrical methods used alone or in combination with electrical methods. Design concerns from an engineering point of view are explored, and novel improvements to obtain a more stable interface are described. Finally, a critique of the methods with respect to their long-term impacts is provided. In this review, nerve electrodes are found to be one of the most promising interfaces in the future for intuitive user control. Clinical trials with larger patient populations, and for longer periods of time for certain interfaces, will help to evaluate the clinical application of nerve electrodes.

Indexed as

Artificial LimbsPeripheral Nervous SystemUser-Computer InterfaceElectrodesExtremitiesHumansamputationartificial limbelectric stimulationelectrodeselectromyographyextremitiesneural conductionneuroprosthesisperipheral nervous systemprostheses and implants

Identifiers

PMID32151268
PMCPMC7063740

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.