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

Pulse rhythm01:30

Pulse rhythm

1.7K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.7K
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

5.7K
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Early Mucosal Type II Interferon Limits SARS-CoV-2 Replication in Humans.

medRxiv : the preprint server for health sciences·2026
Same author

Pulmonary fibrosis after COVID-19 is characterized by airway abnormalities and elevated club cell secretory protein-16.

JCI insight·2026
Same author

Signal in the Noise: Polygenic Scores and the Problem of Defining Idiopathic Pulmonary Fibrosis.

American journal of respiratory and critical care medicine·2026
Same author

Evaluation of Large Language Models for Structured Data Extraction From Interstitial Lung Disease Clinical Notes: Comparative Study.

Journal of medical Internet research·2026
Same author

Progressive Fusion of Multi-Scale Mamba Context and Local Detail Priors for Infrared Small Target Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Performance of Age-Adjusted Whole Genome Sequencing Telomere Length in Idiopathic Pulmonary Fibrosis.

American journal of respiratory and critical care medicine·2026

Related Experiment Video

Updated: May 5, 2026

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
07:47

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Published on: February 14, 2018

11.8K

A Wearable Fabric Sensing Device for Swallow Monitoring and Classification.

David Zhang1, Wei Li2, Jonathan Chen3

  • 1Walker Department of Mechanical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA. david.zhang@austin.utexas.edu.

Dysphagia
|December 23, 2025
PubMed
Summary

A new wearable fabric sensor accurately detects laryngeal elevation during swallowing, outperforming traditional electromyography. This innovation offers a non-invasive method for monitoring swallowing function and airway protection.

Keywords:
DeglutitionElectromyographyStrain sensorSwallow measurementWearable device

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.2K
Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

4.9K

Related Experiment Videos

Last Updated: May 5, 2026

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
07:47

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Published on: February 14, 2018

11.8K
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.2K
Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment
10:03

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

4.9K

Area of Science:

  • Biomechanics
  • Wearable Technology
  • Swallowing Physiology

Background:

  • Laryngeal elevation is crucial for airway protection during swallowing.
  • Current quantification methods like videofluoroscopy are limited.
  • Existing wearable devices cannot measure laryngeal elevation amplitude.

Purpose of the Study:

  • Introduce a novel wearable fabric sensing device with knitted strain sensors.
  • Evaluate its capability for real-time monitoring and classification of swallowing actions.
  • Compare its performance against submental surface electromyography (sEMG).

Main Methods:

  • Developed a wearable fabric sensing device with three knitted strain sensors.
  • Recorded simultaneous data from the sensor and sEMG in 12 healthy adults during swallowing tasks.
  • Utilized K-nearest neighbors (KNN) models for classification of swallowing events.
  • Assessed device comfort through participant surveys.

Main Results:

  • The knitted sensor achieved 0.97 accuracy in distinguishing swallowing from non-swallowing tasks, significantly higher than sEMG (0.82).
  • Combined sensor and sEMG data yielded 0.98 accuracy for task classification.
  • The sensor demonstrated 0.75 accuracy in predicting specific swallowing tasks, compared to 0.32 for sEMG.
  • Participants reported low discomfort (7.33/100) with the wearable device.

Conclusions:

  • Knitted strain sensors can effectively detect laryngeal movement during swallowing.
  • The novel wearable device accurately distinguishes between swallowing and non-swallowing actions.
  • This technology offers a promising, non-invasive alternative to sEMG for swallowing analysis.