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

An adaptive algorithm for noise rejection

D E Lovelace, S B Knoebel

    Medical Instrumentation
    |November 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an adaptive algorithm to remove noise artifact from 24-hour ambulatory electrocardiographic recordings. The method effectively identifies and rejects noise, improving data quality for ambulatory ECG analysis.

    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

    American College of Cardiology key data elements and definitions for measuring the clinical management and outcomes of patients with acute coronary syndromes. A report of the American College of Cardiology Task Force on Clinical Data Standards (Acute Coronary Syndromes Writing Committee).

    Journal of the American College of Cardiology·2001
    Same author

    The significance of this special issue.

    Journal of psychosomatic research·2000
    Same author

    Clinical competence in ambulatory electrocardiography. A statement for physicians from the AHA/ACC/ACP Task Force on Clinical Privileges in Cardiology.

    Circulation·1993
    Same author

    Development of a database for clinical use and multicenter collaborative data sharing.

    The Journal of invasive cardiology·1992
    Same author

    Vagaries of acceleration dependent aberration.

    British heart journal·1992
    Same author

    Modeling for policy decisions: potential and problems.

    Journal of the American College of Cardiology·1989
    Same journal

    Nurses' attitudes toward conventional and automated vital signs measurement methods.

    Medical instrumentation·1988
    Same journal

    Implementation of a home-based program for early detection of clinical deterioration in cystic fibrosis.

    Medical instrumentation·1988
    Same journal

    A home-based pulmonary function monitor for cystic fibrosis.

    Medical instrumentation·1988
    Same journal

    Blood pressure reactivity and bias vary with age in a comparison of traditional and automated methods of measurement.

    Medical instrumentation·1988
    Same journal

    Human factors and design evaluation of digital blood pressure/pulse meters.

    Medical instrumentation·1988
    Same journal

    Electrically produced artificial ventilation.

    Medical instrumentation·1988
    See all related articles

    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Cardiology

    Background:

    • Ambulatory electrocardiographic (ECG) recordings are crucial for diagnosing cardiac conditions.
    • Noise artifact frequently contaminates these recordings, compromising diagnostic accuracy.
    • Effective noise rejection is essential for reliable long-term ECG monitoring.

    Purpose of the Study:

    • To describe a novel adaptive algorithm for the automated rejection of noise artifact in 24-hour ambulatory ECG recordings.
    • To evaluate the performance of this algorithm in a population with high levels of noise.

    Main Methods:

    • Development of an adaptive algorithm detecting noise based on amplitude distortion and fluctuation frequency.
    • Application and testing of the algorithm on ambulatory ECG recordings from a high-noise population.

    Related Experiment Videos

  • Quantitative and qualitative assessment of noise rejection efficacy.

    • Main Results:

    • The adaptive algorithm successfully identified and rejected noise artifacts.
    • Demonstrated effectiveness in a challenging dataset with significant noise contamination.
    • Preservation of true ECG signal characteristics during noise removal.

    Conclusions:

    • The described adaptive algorithm provides an effective solution for noise artifact rejection in ambulatory ECG.
    • This method enhances the reliability of long-term ECG monitoring, particularly in noisy environments.
    • The algorithm shows promise for improving diagnostic accuracy from ambulatory ECG data.