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 Experiment Videos

Optimal digital filtering for tremor suppression.

J G Gonzalez1, E A Heredia, T Rahman

  • 1Department of Electrical and Computer Engineering, University of Delaware, Newark 19716, USA.

IEEE Transactions on Bio-Medical Engineering
|June 14, 2000
PubMed
Summary
This summary is machine-generated.

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

SACI-IO HR+: A randomized phase II trial of sacituzumab govitecan with or without pembrolizumab in patients with metastatic hormone receptor-positive/HER2-negative breast cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2026
Same author

Evidence for a Spectral Break or Curvature in the Spectrum of Astrophysical Neutrinos from 5 TeV to 10 PeV.

Physical review letters·2026
Same author

Observational study on the safety and effectiveness of SARS-CoV-2 vaccination in patients with lung cancer.

ESMO real world data and digital oncology·2026
Same author

Search for Extremely-High-Energy Neutrinos and First Constraints on the Ultrahigh-Energy Cosmic-Ray Proton Fraction with IceCube.

Physical review letters·2025
Same author

Measurement of Atmospheric Neutrino Oscillation Parameters Using Convolutional Neural Networks with 9.3 Years of Data in IceCube DeepCore.

Physical review letters·2025
Same author

Search for an eV-Scale Sterile Neutrino Using Improved High-Energy ν_{μ} Event Reconstruction in IceCube.

Physical review letters·2024
Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026
Same journal

A Low-Cost Wearable TI-TACS Stimulator With Bipolar Quadratic-Boost Converter for Current Stimulation Validation in the Rat Brain.

IEEE transactions on bio-medical engineering·2026
Same journal

EMG-Based Gait Estimation Using Koopman-Inspired Method.

IEEE transactions on bio-medical engineering·2026
Same journal

Soft Everting Robots for Medical Applications: A Review.

IEEE transactions on bio-medical engineering·2026
Same journal

Arterial spin labeling cerebral blood flow quantification from quantitative transport mapping based on multiscale fluid mechanics simulation and deep learning.

IEEE transactions on bio-medical engineering·2026
See all related articles

This study presents a new digital filtering framework to reduce tremor in remote manual tasks. The novel approach optimizes equalizers for improved performance in teleoperation and virtual reality applications.

Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Control Systems

Background:

  • Remote manual tasks (teleoperation, VR) rely on electrical signals from human movements.
  • Human movement distortions like tremor degrade performance in these tasks.
  • Digital filtering can improve performance by processing the intermediate signal.

Purpose of the Study:

  • Introduce a novel tremor filtering framework for remote manual tasks.
  • Address challenges in designing tremor suppression equalizers, including inefficient performance criteria and ill-conditioned signal matrices.
  • Develop an optimal equalizer using a new performance indicator and a 'pulled-optimization' method.

Main Methods:

  • Optimal design of digital equalizers using pursuit tracking task experiments.

Related Experiment Videos

  • Introduction of a new performance indicator tailored for tremor elimination.
  • Application of 'pulled-optimization' to overcome ill-conditioning in autocorrelation matrices.

    • Main Results:

    • Demonstrated significant performance improvement in experiments with artificially induced vibrations.
    • Showed significant performance improvement in experiments with a subject diagnosed with Parkinson's disease.
    • Developed a novel tremor filtering framework with a new performance indicator and 'pulled-optimization' method.

    Conclusions:

    • The proposed tremor filtering framework effectively improves performance in remote manual tasks.
    • The new performance indicator and 'pulled-optimization' method successfully address design challenges.
    • The framework offers a viable solution for tremor reduction in applications like teleoperation and virtual reality.