Evidence map›Paper›PMID 37504091›Full record

ArticleBiosensors2023

Liquid Metal Flexible EMG Gel Electrodes for Gesture Recognition.

Yanru Bai, Xiaoqing Li, Chengcai Zheng, Rui Guo, Xisheng Li

Abstract read
In one paragraph

Article in Biosensors, 2023. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Yanru BaiSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0009-0001-1159-9747
Xiaoqing LiDepartment of Biomedical Engineering, Tianjin University, Tianjin 300072, China.
Chengcai ZhengSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Rui GuoDepartment of Biomedical Engineering, Tianjin University, Tianjin 300072, China.
Xisheng LiSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

the High altitude PSA/M coupling oxygen production process and high precision oxygen concentration and flow integrated detector development 2022YFC2403703
6 · The paper itself

Abstract

Gesture recognition has been playing an increasingly important role in the field of intelligent control and human-computer interaction. Gesture recognition technology based on electromyography (EMG) with high accuracy has been widely applied. However, conventional rigid EMG electrodes do not fit the mechanical properties of human skin. Therefore, rigid EMG electrodes are easily influenced by body movements, and uncomfortable to wear and use for a long time. To solve these problems, a stretchable EMG electrode based on liquid metal nanoparticles was developed in this research. It is conformal with human skin because of its similar mechanical properties to skin. Liquid metal nanoparticles mixed in polymer can be connected to each other to form conductive circuits when pressed by mechanical force. Therefore, this preparation method of liquid metal flexible gel electrodes is low-cost and can be fabricated largely. Moreover, the liquid metal flexible gel electrodes have great stretch ability. Their resistance increases slightly at maximum strain state. Based on these advantages, the flexible gel electrodes are applied to arm to collect EMG signals generated by human hand movements. In addition, the signals are analyzed by artificial intelligence algorithm to realize accurate gesture recognition.

Indexed as

Artificial IntelligenceGesturesAlgorithmsElectrodesElectromyographyHumansMetalsMetalsEMG electrodesgesture recognitionliquid metalmicro/nanodroplets

Identifiers

PMID37504091
PMCPMC10377211

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.