Evidence map›Paper›PMID 33086662›Full record

ArticlePolymers2020

EMG Measurement with Textile-Based Electrodes in Different Electrode Sizes and Clothing Pressures for Smart Clothing Design Optimization.

Siyeon Kim, Sojung Lee, Wonyoung Jeong

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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.

Siyeon KimHuman Convergence Technology R&D Department, Korea Institute of Industrial Technology, 143 Hanggaul-ro, Sangrok-gu, Ansan-si 15588, Gyeonggi-do, Korea.
Sojung LeeHuman Convergence Technology R&D Department, Korea Institute of Industrial Technology, 143 Hanggaul-ro, Sangrok-gu, Ansan-si 15588, Gyeonggi-do, Korea.
Wonyoung JeongHuman Convergence Technology R&D Department, Korea Institute of Industrial Technology, 143 Hanggaul-ro, Sangrok-gu, Ansan-si 15588, Gyeonggi-do, Korea.ORCID 0000-0001-5643-1035

Funding

Gyeonggi-Do Technology Development Program kitech IZ-20-0004Korea Institute of Industrial Technology kitech JA-20-0001
6 · The paper itself

Abstract

The surface electromyography (SEMG) is one of the most popular bio-signals that can be applied in health monitoring systems, fitness training, and rehabilitation devices. Commercial clothing embedded with textile electrodes has already been released onto the market, but there is insufficient information on the performance of textile SEMG electrodes because the required configuration may differ according to the electrode material. The current study analyzed the influence of electrode size and pattern reduction rate (PRR), and hence the clothing pressure (

Indexed as

clothing design optimizationclothing pressureelectrode sizeelectromyographyEMGtextile based electrodes

Identifiers

PMID33086662
PMCPMC7603359

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.