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

Ultrasound-Informed State Estimation of Wrist Tremor Dynamics via Koopman Operator for Personalized Sensory Peripheral Nerve Stimulation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

VisR Ultrasound for Monitoring Muscle Fatigue with FES-Induced and Volitional Isometric Contraction of the Rectus Femoris in Participants with Uninjured and Injured Spinal Cords.

Annals of biomedical engineering·2026
Same author

Cucurbitacin derivatives (B, IIa, IIb, and E): modulating gut dysbiosis and inflammatory pathways for multi-target therapy of ulcerative colitis.

Inflammopharmacology·2026
Same author

Lamellar Normative Modelling of the Hippocampus Across the Human Lifespan.

bioRxiv : the preprint server for biology·2026
Same author

Synergistic melatonin and myo-inositol application reinforces antioxidant defence, osmotic homeostasis, and membrane stability in Western Himalayan apple rootstocks under drought stress.

BMC plant biology·2026
Same author

Focused Ultrasound Ablation for Neurological Disorders.

Biological psychiatry·2026

Related Experiment Video

Updated: Mar 12, 2026

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography
04:06

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

1.1K

Wearable Ultrasound Sensing with Dual Arrays and Machine Learning for Real-Time Tremor Characterization and

Xiangming Xue1, Sunho Moon2, Vidisha Ganesh1

  • 1Lampe Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, USA.

IEEE Transactions on Instrumentation and Measurement
|March 11, 2026
PubMed
Summary

A new wearable ultrasound sensing system offers precise, low-latency tremor tracking for movement disorders. This technology enables faster development of personalized stimulation strategies for conditions like Parkinson's Disease and Essential Tremor.

Keywords:
Afferent stimulationBiomedical signal processingMachine learningTremor frequency estimationWearable ultrasound

More Related Videos

A Novel Application of Musculoskeletal Ultrasound Imaging
10:53

A Novel Application of Musculoskeletal Ultrasound Imaging

Published on: September 17, 2013

24.8K
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

1.5K

Related Experiment Videos

Last Updated: Mar 12, 2026

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography
04:06

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

1.1K
A Novel Application of Musculoskeletal Ultrasound Imaging
10:53

A Novel Application of Musculoskeletal Ultrasound Imaging

Published on: September 17, 2013

24.8K
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

1.5K

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Neurology

Background:

  • Accurate tremor dynamics sensing is crucial for personalized treatment of movement disorders like Parkinson's Disease (PD) and Essential Tremor (ET).
  • Current methods like inertial measurement units (IMUs) and surface electromyography (EMG) have limitations in muscle specificity and are susceptible to artifacts.

Purpose of the Study:

  • To develop and validate a Wearable Ultrasound Sensing (WUS) system for precise and time-efficient tremor tracking.
  • To assess the WUS system's performance against existing technologies and evaluate its machine learning pipeline for tissue displacement estimation.

Main Methods:

  • Fabrication of a WUS system with dual flexible 64-element transducer arrays for simultaneous antagonist muscle monitoring (FCR and ECR).
  • Implementation of a machine learning (ML) pipeline to estimate tissue displacement (TD) from raw ultrasound signals.
  • Comparative analysis with commercial B-mode and IMU sensors, and evaluation of real-time processing capabilities.

Main Results:

  • The WUS system achieved tremor frequency detection within 10% variation of commercial sensors, meeting statistical equivalence.
  • TD estimation models showed high predictive accuracy (Pearson's r: 0.88-0.97, nRMSE < 10%).
  • The WUS-ML pipeline significantly reduced offline model building time (75% faster) and frame-level latency (from 3700 ms to 17 ms), exceeding 50 Hz processing rates.

Conclusions:

  • The dual-array wearable ultrasound system is feasible for accurate, low-latency tremor tracking.
  • This technology paves the way for advanced closed-loop afferent stimulation systems for movement disorder management.
  • WUS offers a promising, muscle-specific alternative for monitoring tremor dynamics in clinical and home settings.