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

Clinical and Pathogenic Characteristics of 45 Cases of Bloodstream Infection in Obstetrics: A Clinical Analysis.

Infection and drug resistance·2026
Same author

Dual-Modulus Microcone Array for Graded Tactile Sensing and Intelligent Slip Detection.

ACS applied materials & interfaces·2026
Same author

AdaWGAN: Data Augmentation for Few-Shot HD-sEMG Gesture Recognition Using Single-Trial Data.

IEEE journal of biomedical and health informatics·2026
Same author

Advances in printable flexible and stretchable thin-film electrodes: materials, interfaces, technologies and bioelectronic applications.

Nanoscale·2026
Same author

Nondestructive determination of ash content in wheat flour via terahertz time-domain spectroscopy.

Frontiers in plant science·2026
Same author

Resting-state brain network alterations in adolescent idiopathic scoliosis using functional near-infrared spectroscopy.

Biomedical engineering online·2026

Related Experiment Video

Updated: Sep 2, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

722

Towards Evaluating Pitch-Related Phonation Function in Speech Communication Using High-Density Surface

Mingxing Zhu1,2, Xin Wang2,3,4, Hanjie Deng5

  • 1School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, China.

Frontiers in Neuroscience
|August 8, 2022
PubMed
Summary

This study reveals that muscle activity patterns correlate with vocal pitch. These findings suggest using muscle contractions to assess voice production and diagnose conditions like dysphonia.

Keywords:
high-densityphonation functionpitchesspeech communicationsurface electromyogram

More Related Videos

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

34.9K
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

693

Related Experiment Videos

Last Updated: Sep 2, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

722
A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

34.9K
Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
09:42

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

693

Area of Science:

  • Biomechanics
  • Speech Science
  • Neurophysiology

Background:

  • Vocal pitch is essential for natural voice production and communication.
  • Understanding the link between pitch and muscle activity is vital for voice training and assessing voice disorders like dysphonia.

Purpose of the Study:

  • To investigate the relationship between vocal pitch variations and facial/neck muscle activity.
  • To explore the potential of using electromyography (EMG) data for evaluating pitch-related phonation functions.

Main Methods:

  • Synchronous acquisition of speech and high-density surface electromyography (HD sEMG) signals during vowel phonation at increasing pitches.
  • Construction of HD sEMG energy maps and extraction of normalized parameters (nMF, nRMS) to analyze muscle activity and sound frequency.

Main Results:

  • Muscle contraction strength increased monotonically with rising vocal pitch, showing symmetrical patterns in facial and neck muscles.
  • Normalized root-mean square (nRMS) and normalized median frequency (nMF) increased concurrently with pitch, exhibiting significant correlations across different vowels.

Conclusions:

  • Muscle contraction patterns can serve as a reference for evaluating pitch-related phonation functions.
  • This research offers a potential new method for the clinical assessment of muscular functions in individuals with dysphonia.