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

ECG data compression techniques--a unified approach.

S M Jalaleddine1, C G Hutchens, R D Strattan

  • 1School of Electrical and Computer Engineering, Oklahoma State University, Stillwater 74078.

IEEE Transactions on Bio-Medical Engineering
|April 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

Analysis of the effect of a 60 Hz AC field on histamine release by rat peritoneal mast cells.

Bioelectromagnetics·1998
Same author

Compression of Holter ECG data.

Biomedical sciences instrumentation·1988
Same author

Design simulation of ultrasonic transducer systems.

Biomedical sciences instrumentation·1987
Same author

Implementation of Mason's Model on Circuit Analysis Programs.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·1986
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
Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

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

This paper addresses the challenge of comparing electrocardiogram (ECG) compression methods by presenting a unified framework. It categorizes and evaluates various ECG data compression techniques for efficient storage and transmission.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Electrocardiogram (ECG) data compression techniques are crucial for reducing data volume in storage and transmission.
  • Existing evaluation methods hinder direct comparison of diverse ECG compression algorithms.
  • Applications range from diagnostic to ambulatory ECG monitoring.

Purpose of the Study:

  • To address the problem of comparing ECG compression methods.
  • To establish a unified view and framework for evaluating ECG compression techniques.
  • To facilitate direct comparison among existing ECG compression techniques.

Main Methods:

  • Categorization of ECG compression schemes into direct data compression and transformation methods.
  • Presentation of direct data compression techniques: ECG differential pulse code modulation, entropy coding, AZTEC, Turning-point, CORTES, Fan, SAPA, peak-picking, and cycle-to-cycle methods.

Related Experiment Videos

  • Brief overview of transformation methods: Fourier, Walsh, and K-L transforms.

    • Main Results:

    • Direct ECG data compression schemes are classified into tolerance-comparison compression, differential pulse code modulation (DPCM), and entropy coding methods.
    • A framework for the evaluation and comparison of ECG compression schemes is proposed.
    • Identified limitations in current comparative evaluation of ECG compression algorithms.

    Conclusions:

    • A unified approach is necessary for effective evaluation and comparison of ECG compression techniques.
    • The proposed framework aims to standardize the assessment of ECG compression algorithms.
    • Standardized evaluation will aid in selecting optimal methods for various ECG applications.