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

A novel algorithm for cardiac biosignal filtering based on filtered residue method.

Shahriar Iravanian1, Leslie Tung

  • 1The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

IEEE Transactions on Bio-Medical Engineering
|November 27, 2002
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

Quantifying APD-ARI Differences Across Endo-Epicardial Surfaces in Human and Porcine Hearts.

Computing in cardiology·2026
Same author

Novel use of KardiaMobile device to assess for vector suitability for subcutaneous implantable cardioverter-defibrillator implantation.

Heart rhythm·2025
Same author

Computational study of the excitation of human induced pluripotent stem cell-derived cardiomyocytes.

Experimental physiology·2025
Same author

Generation of an induced pluripotent stem cell line, JHUi008-A, from a healthy female donor.

Stem cell research·2025
Same author

Adipocyte-Mediated Electrophysiological Remodeling of PKP-2 Mutant Human Pluripotent Stem Cell-Derived Cardiomyocytes.

Biomedicines·2024
Same author

Computational Study of the Excitation of Human Induced Pluripotent Stem-Cell Derived Cardiomyocytes.

bioRxiv : the preprint server for biology·2024

A novel algorithm effectively filters cardiac bioelectrical signals by leveraging their periodicity. This method, using a filter residue (FR) approach, minimizes distortion while preserving beat variations in action potentials and electrocardiographic signals.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Cardiac bioelectrical signals, including action potentials and electrocardiographic (ECG) signals, often contain noise.
  • High periodicity is a characteristic feature of these biosignals.
  • Existing filtering methods may introduce distortion or fail to preserve beat-to-beat variations.

Purpose of the Study:

  • To introduce a new algorithm for filtering cardiac bioelectrical signals.
  • To exploit the inherent periodicity of cardiac signals for effective de-noising.
  • To minimize signal distortion and preserve beat variations during filtering.

Main Methods:

  • Development of a novel filter residue (FR) algorithm.
  • Utilizing signal averaging in time to identify stationary signal portions.

Related Experiment Videos

  • Employing low-pass filtering on the signal residue.
  • Reconstructing the filtered signal by adding the filtered residue back to the signal average.
  • Implementing stretching and shrinking operations for quasi-periodic signal conversion.

    • Main Results:

    • The proposed FR algorithm effectively filters cardiac action potentials and electrocardiographic signals.
    • The method preserves essential signal characteristics, including beat-to-beat variations.
    • Error estimation was performed to optimize algorithm parameters.
    • Demonstrated the algorithm's ability to handle quasi-periodic signals through signal manipulation.

    Conclusions:

    • The novel FR algorithm provides an effective de-noising solution for cardiac bioelectrical signals.
    • The algorithm's reliance on signal periodicity ensures minimal distortion.
    • The method is applicable to both voltage-sensitive dye recordings and ECG signals.
    • The study discusses practical implementation, parameter selection, and algorithm limitations.