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

TDAT--time domain analysis tool for EEG analysis.

S Park1, J C Principe, J R Smith

  • 1Department of Electrical Engineering, University of Florida, Gainesville 32611.

IEEE Transactions on Bio-Medical Engineering
|August 1, 1990
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

Target discrimination in synthetic aperture radar using artificial neural networks.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Super-resolution of images based on local correlations.

IEEE transactions on neural networks·2008
Same author

Training neural networks with additive noise in the desired signal.

IEEE transactions on neural networks·2008
Same author

Generalized information potential criterion for adaptive system training.

IEEE transactions on neural networks·2008
Same author

Detection of synchronized firings in multivariate neural spike trains during motor tasks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2007
Same author

Visualization of the short term maximum Lyapunov exponent topography in the epileptic brain.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
Same journal

Assessment of skin stiffness in systemic sclerosis using optical coherence elastography: A comparative study with histology and clinical parameters.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Dyadic Interdependence in Endocrine Functioning: A Multilevel Machine Learning Study of Adults with Cancer and Their Caregivers.

IEEE transactions on bio-medical engineering·2026
Same journal

A Kalman Filter-Based Framework for Granger Causality Assessment: Application in Tracking Maternal-Fetal Heart Rate Coupling.

IEEE transactions on bio-medical engineering·2026
Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026
Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

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

This study introduces TDAT, an interactive tool for visualizing and analyzing multiple data channels. It aids in filter design and signal detection algorithm evaluation, particularly for electroencephalogram (EEG) data.

Area of Science:

  • Biomedical Engineering
  • Data Visualization
  • Software Development

Background:

  • Effective analysis of complex, multi-channel data is crucial in scientific research.
  • Current tools may lack integrated capabilities for simultaneous data visualization, filtering, and algorithm evaluation.
  • Electroencephalogram (EEG) waveform analysis presents challenges in managing and interpreting multiple data streams.

Purpose of the Study:

  • To present an interactive design and analysis tool, TDAT, for visualizing and quantifying multiple data channels.
  • To enable simultaneous observation of filter effects and evaluation of signal detection algorithms.
  • To demonstrate TDAT's utility in electroencephalogram (EEG) waveform analysis and its potential as a paperless system for electroencephalographers.

Main Methods:

Related Experiment Videos

  • Development of an interactive software tool designed for a workstation environment.
  • Implementation of features for easy visualization of multiple data channels.
  • Integration of capabilities for applying filters and evaluating signal detection algorithms in real-time.

Main Results:

  • TDAT facilitates the simultaneous visualization of multiple data channels.
  • The system allows users to observe the effects of filters on data and evaluate signal detection algorithms effectively.
  • TDAT is currently used for designing and evaluating filters and detection algorithms for EEG waveforms.

Conclusions:

  • TDAT provides a versatile platform for the design and analysis of multi-channel data.
  • The software streamlines the process of filter and algorithm evaluation, particularly for EEG data.
  • TDAT serves as a prototype for advanced, paperless systems in fields like electroencephalography.