Spatial Dependence of Log-Transformed Electromyography-Force Relation: Model-Based Sensitivity Analysis and Experimental Study of Biceps Brachii.

Chengjun Huang, Maoqi Chen, Zhiyuan Lu, Cliff S Klein, Ping Zhou

Open access · goldAbstract read

In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.1field-weighted citation impact, top 63% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 2 countries.

Chengjun HuangDepartment of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA.

Maoqi ChenSchool of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao 266072, China.

Zhiyuan LuSchool of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao 266072, China.

Cliff S KleinGuangdong Work Injury Rehabilitation Center, Rehabilitation Research Institute, Guangzhou 510440, China.ORCID 0000-0002-0938-7251

Ping ZhouSchool of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao 266072, China.

Baylor College of Medicine · USGuangdong Work Injury Rehabilitation Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated electromyography (EMG)-force relations using both simulated and experimental approaches. A motor neuron pool model was first implemented to simulate EMG-force signals, focusing on three different conditions that test the effects of small or large motor units located more or less superficially in the muscle. It was found that the patterns of the EMG-force relations varied significantly across the simulated conditions, quantified by the slope (

Indexed as

biceps brachiiEMG-force relationmotor unitspatial distributionsurface electromyography (EMG)

Identifiers

PMID37106655

DOI10.3390/bioengineering10040469

PMCPMC10136339

OpenAlexW4365141772

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.