Evidence map›Paper›PMID 35693543›Full record

ArticleFrontiers in human neuroscience2022

Design of an Isometric End-Point Force Control Task for Electromyography Normalization and Muscle Synergy Extraction From the Upper Limb Without Maximum Voluntary Contraction.

Woorim Cho, Victor R Barradas, Nicolas Schweighofer, Yasuharu Koike

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. 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
0.6field-weighted citation impact, top 40% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. "Frontiers in sports and active living · 2023
    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

4 authors at 2 institutions in 2 countries.

Woorim ChoSchool of Engineering, Tokyo Institute of Technology, Yokohama, Japan.
Victor R BarradasInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Nicolas SchweighoferInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Yasuharu KoikeInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Tokyo Institute of Technology · JPUniversity of Southern California · US

Funding

Fast training promotes recovery of arm movements post-stroke via cerebellar-mediated anticipatory feedforward controlR21NS120274 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHWEIGHOFER, NICOLAS · 2020 to 2020
$422k
NINDS NIH HHS R21 NS120274
6 · The paper itself

Abstract

Muscle synergy analysis

Indexed as

electromyography (EMG)EMG normalizationisometric force controlmaximum voluntary contraction (MVC)muscle synergy

Identifiers

PMID35693543
PMCPMC9184761
OpenAlexW4281921766

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.