skip to main content
10.1145/3543377.3543403acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbbtConference Proceedingsconference-collections
research-article

Study on Measurement Parameters of sEMG based on Frequency Domain

Published: 08 August 2022 Publication History

Abstract

This paper studies the measurement parameters of surface electromyography(sEMG) in frequency domain, introduces the calculation method of median frequency, average power frequency, peak frequency, power spectrum ratio and third spectral moment in frequency domain, and makes an in-depth study on action pattern recognition by using median frequency and average power frequency of sEMG in frequency domain. The experimental results show that it is feasible to recognize the action pattern of sEMG in frequency domain, and it can provide theoretical data for the rehabilitation training of sEMG in the next step.

References

[1]
Jian Liu, Renling Zou, Dongheng Zhang, Xiulin Xu, and Xiufang Hu. 2015. Research trend of sEMG feature extraction methods. Advances in biomedical engineering, 36(03): 164-168.
[2]
Tian Wu, Zhihua Liu, Ran Chen, Li Zhou, Peng Li, and Shiqi Liu. 2021. Fatigue Analysis of Upper limb Muscle based on sEMG. Science Technology and Engineering, 21(08): 3407-3413.
[3]
Qingju Qiu. 2009. Study on Feature Extraction and Pattern Classification of sEMG. Shanghai Jiaotong University.
[4]
Giovanni Corvini, Carmen D'Anna, and Silvia Conforto. 2022. Estimation of mean and median frequency from synthetic sEMG signals: Effects of different spectral shapes and noise on estimation methods. Biomedical Signal Processing and Control. Vol.73: 103420.
[5]
Haiqing Dong. 2018. Research on upper limb pattern recognition Technology based on sEMG. Shanghai Normal University.
[6]
Liye Ren, and Donglei Xu. 2020. Based on the study of human upper limb sEMG in motion process. Journal of changchun university, 30(04): 45-48.

Cited By

View all
  • (2025)Post-Stroke Dysphagia: Evaluating myoelectric alterations in swallowing musclesMeasurement10.1016/j.measurement.2025.117010249(117010)Online publication date: May-2025

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICBBT '22: Proceedings of the 14th International Conference on Bioinformatics and Biomedical Technology
May 2022
190 pages
ISBN:9781450396387
DOI:10.1145/3543377
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 August 2022

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. frequency characteristics
  2. sEMG
  3. the parameter measurement

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

Conference

ICBBT 2022

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)17
  • Downloads (Last 6 weeks)1
Reflects downloads up to 20 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2025)Post-Stroke Dysphagia: Evaluating myoelectric alterations in swallowing musclesMeasurement10.1016/j.measurement.2025.117010249(117010)Online publication date: May-2025

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media