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

Comparative pharmacokinetics of total ginsenosides between young and aging mice.

Frontiers in pharmacology·2026
Same author

Ultrasoft, adhesive, pH-tunable hydrogel based on in situ functionalized laser-induced graphene for through-hair concurrent biosensing.

Science advances·2026
Same author

Paintable on-skin dry electrodes with robust skin and device connection for wireless sensing and human-machine interfaces.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Interventional Potential of Panax Genus Chinese Medicinals in Atherosclerosis Progression.

Phytotherapy research : PTR·2026
Same author

Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

3D Printing of Magnetic Soft Materials for Functional Structures and Devices.

Advanced materials (Deerfield Beach, Fla.)·2026

Related Experiment Video

Updated: Jul 9, 2025

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.5K

A fully integrated, standalone stretchable device platform with in-sensor adaptive machine learning for

Hongcheng Xu1, Weihao Zheng1, Yang Zhang2

  • 1School of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.

Nature Communications
|November 27, 2023
PubMed
Summary

Researchers developed a wearable skin sensor for continuous throat monitoring. This device uses machine learning to analyze muscle and vibration data, enabling accurate remote health assessments.

More Related Videos

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs
03:55

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs

Published on: October 27, 2023

2.1K
A Vibrotactile Feedback Device for Seated Balance Assessment and Training
09:13

A Vibrotactile Feedback Device for Seated Balance Assessment and Training

Published on: January 20, 2019

6.4K

Related Experiment Videos

Last Updated: Jul 9, 2025

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.5K
Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs
03:55

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs

Published on: October 27, 2023

2.1K
A Vibrotactile Feedback Device for Seated Balance Assessment and Training
09:13

A Vibrotactile Feedback Device for Seated Balance Assessment and Training

Published on: January 20, 2019

6.4K

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Machine Learning

Background:

  • Continuous monitoring of vital and muscle activities is crucial for post-surgical throat treatments.
  • Existing methods lack wireless, continuous analysis capabilities directly from throat skin.

Purpose of the Study:

  • To design and validate a fully integrated, standalone stretchable device for wireless monitoring and analysis of throat activities.
  • To enable machine learning-based classification of motion and speech features from diverse physiological signals.

Main Methods:

  • Development of a stretchable device platform with a modified composite hydrogel for low contact impedance and adhesion.
  • Integration of a triaxial broad-band accelerometer for measuring body movements and physiological vibrations.
  • Utilizing a 2D-like sequential feature extractor with fully connected neurons for data processing and classification.

Main Results:

  • The device achieved high-quality, long-term monitoring of muscle electrical signals.
  • Accurate measurement of both large body movements and subtle physiological activities/vibrations.
  • Machine learning classification of motion/speech features exceeded 90% accuracy, adapting to noisy data and new subjects.

Conclusions:

  • The developed stretchable device offers wireless monitoring and machine learning analysis for throat activities.
  • This technology paves the way for wearable skin-interfaced systems for remote monitoring and treatment evaluation.
  • Potential applications include managing various diseases requiring continuous physiological assessment.