Evidence map›Paper›PMID 35808240›Full record

ArticleSensors (Basel, Switzerland)2022

Development and Characterization of Embroidery-Based Textile Electrodes for Surface EMG Detection.

Hyelim Kim, Siyeon Kim, Daeyoung Lim, Wonyoung Jeong

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Hyelim KimMaterial and Component Convergence R&D Department, Korea Institute of Industrial Technology (KITECH), Ansan 15588, Korea.ORCID 0000-0003-4880-7420
Siyeon KimReliability Assesment Center, FITI Testing and Research Institute, Seoul 07791, Korea.
Daeyoung LimMaterial and Component Convergence R&D Department, Korea Institute of Industrial Technology (KITECH), Ansan 15588, Korea.
Wonyoung JeongMaterial and Component Convergence R&D Department, Korea Institute of Industrial Technology (KITECH), Ansan 15588, Korea.ORCID 0000-0001-5643-1035
Korea Institute of Industrial Technology · KRKorea Testing & Research Institute · KR

Funding

Korea Institute of Industrial Technology kitech EH-22-0003
6 · The paper itself

Abstract

The interest in wearable devices has expanded to measurement devices for building IoT-based mobile healthcare systems and sensing bio-signal data through clothing. Surface electromyography, called sEMG, is one of the most popular bio-signals that can be applied to health monitoring systems. In general, gel-based (Ag/AgCl) electrodes are mainly used, but there are problems, such as skin irritation due to long-time wearing, deterioration of adhesion to the skin due to moisture or sweat, and low applicability to clothes. Hence, research on dry electrodes as a replacement is increasing. Accordingly, in this study, a textile-based electrode was produced with a range of electrode shapes, and areas were embroidered with conductive yarn using an embroidery technique in the clothing manufacturing process. The electrode was applied to EMG smart clothing for fitness, and the EMG signal detection performance was analyzed. The electrode shape was manufactured using the circle and wave type. The wave-type electrode was more morphologically stable than the circle-type electrode by up to 30% strain, and the electrode shape was maintained as the embroidered area increased. Skin-electrode impedance analysis confirmed that the embroidered area with conductive yarn affected the skin contact area, and the impedance decreased with increasing area. For sEMG performance analysis, the rectus femoris was selected as a target muscle, and the sEMG parameters were analyzed. The wave-type sample showed higher EMG signal strength than the circle-type. In particular, the electrode with three lines showed better performance than the fill-type electrode. These performances operated without noise, even with a commercial device. Therefore, it is expected to be applicable to the manufacture of electromyography smart clothing based on embroidered electrodes in the future.

Indexed as

Smart MaterialsWearable Electronic DevicesElectrodesElectromyographyTextilesSmart Materialsbio-signalembroiderysmart clothingsurface electromyographytextile electrode

Identifiers

PMID35808240
PMCPMC9268917
OpenAlexW4283374947

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.