Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Tunable particle-free region via acoustic force balance around an oscillating microbubble.

Ultrasonics·2026
Same author

Investigation of monotherapeutic high-intensity focused ultrasound therapy for thrombolysis in highly occluded vessels: an<i>in vitro</i>study.

Physics in medicine and biology·2026
Same author

Iterative evolution of <i>Saccharomyces cerevisiae</i> enhances recombinant protease secretion.

Synthetic and systems biotechnology·2026
Same author

[Comparative study on hearing screening tools for the elderly population in Beijing area].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery·2026
Same author

Bio-based glutathione production: Microbial strategies and challenges.

Bioresource technology·2025
Same author

Scalability of random forest in myoelectric control.

Journal of neural engineering·2025
Same journal

Correction: Kang et al. Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester. <i>Micromachines</i> 2024, <i>15</i>, 581.

Micromachines·2026
Same journal

Femtosecond Laser Texturing of Wood Coatings with Bio-Based Epoxy and Wax Additives for Enhanced Hydrophobicity.

Micromachines·2026
Same journal

Engineering of Optoelectronic Devices for Renewable Energy Applications.

Micromachines·2026
Same journal

Phase Transformation and Electrochemical Behavior of Hexagonal TiO<sub>2</sub> Nanotubes Under Different Annealing Temperatures and Heating Rates.

Micromachines·2026
Same journal

Process Optimization and Predictive Modeling of Femtosecond Laser Precision Milling for Commercial PMMA Slices.

Micromachines·2026
Same journal

A Hybrid Preprocessing Multi-Objective Surrogate Model for Thermal MEMS Actuators.

Micromachines·2026
See all related articles

Related Experiment Video

Updated: Aug 23, 2025

A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

817

Performance Analysis of Electromyogram Signal Compression Sampling in a Wireless Body Area Network.

Liangyu Zhang1, Junxin Chen1, Chenfei Ma2

  • 1College of Medicine and Biological Information Engineering, Northeastern University, 195 Innovation Road, Shenyang 110169, China.

Micromachines
|October 27, 2022
PubMed
Summary
This summary is machine-generated.

Compressed sensing (CS) effectively reduces data for electromyogram (EMG) signals. The db2 wavelet basis and basis pursuit (BP) algorithm offer optimal sparse EMG signal reconstruction with low distortion.

Keywords:
compressed sensingelectromyogramreconstruction algorithmwavelet basis

More Related Videos

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.5K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.1K

Related Experiment Videos

Last Updated: Aug 23, 2025

A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

817
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.5K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.1K

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Wireless Sensor Networks

Background:

  • Increasing demand for portable hardware strains signal processing resources.
  • Compressed sensing (CS) offers a promising solution for efficient signal acquisition in wireless sensor networks.
  • High sample rate electromyogram (EMG) signals require optimized acquisition methods for reduced energy consumption.

Purpose of the Study:

  • To comprehensively analyze the compressed sensing (CS) method for electromyogram (EMG) signal acquisition.
  • To evaluate the performance of various sparse bases and reconstruction algorithms for compressed EMG signals.
  • To identify optimal CS parameters for efficient EMG data processing and reduced energy usage.

Main Methods:

  • A comparative analysis of 52 wavelet sparse bases and five reconstruction algorithms was performed.
  • Performance was evaluated at different compression levels using metrics like percentage root mean square distortion (PRD).
  • The study focused on sparse representation and reconstruction of high sample rate EMG signals.

Main Results:

  • The db2 wavelet basis demonstrated effective sparsification of EMG signals, leading to proper reconstruction.
  • The basis pursuit (BP) algorithm showed superior reconstruction efficiency and performance.
  • Low PRD values were observed for the db2 wavelet basis across various compression ratios.

Conclusions:

  • The db2 wavelet basis and BP reconstruction algorithm are suitable for sparse EMG signal processing.
  • These findings provide a benchmark for practical CS applications in EMG signal acquisition.
  • Optimized CS parameters can significantly reduce energy consumption and extend acquisition duration for EMG sensors.