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

Adaptive numerical smoothing: an efficient method of conditioning physiological signals.

A E Marble, A M Zayezdny

    Medical & Biological Engineering & Computing
    |March 1, 1989
    PubMed
    Summary

    This study introduces a novel adaptive smoothing method for digitized signals, enhancing signal quality and reducing computational load. The technique offers improved processing of physiological signals like ECG and pressure waveforms.

    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

    Impedance spectroscopy: an accurate method of differentiating between viable and ischaemic or infarcted muscle tissue.

    Medical & biological engineering & computing·2002
    Same author

    Computational simulation of blood flow in human systemic circulation incorporating an external force field.

    Medical & biological engineering & computing·1995
    Same author

    The 1846 Catalogue of the Halifax Garrison Medical Library.

    Canadian bulletin of medical history = Bulletin canadien d'histoire de la medecine·1995
    Same author

    Effect of intermittent delivery of warm blood cardioplegia on myocardial recovery.

    The Annals of thoracic surgery·1994
    Same author

    Hydrodynamic simulation of arterial networks which include compliant and rigid bypass grafts.

    Journal of biomechanics·1994
    Same author

    Haemodynamic model of a unilateral iliac stenosis with an aortoiliac bypass.

    Medical & biological engineering & computing·1993

    Area of Science:

    • Signal Processing
    • Biomedical Engineering
    • Numerical Analysis

    Background:

    • Digitized signals often require smoothing to remove noise and improve analysis.
    • Traditional smoothing methods can be computationally intensive and may degrade signal quality.
    • Physiological signals (e.g., pressure, flow, ECG) are susceptible to disturbances requiring effective noise reduction.

    Purpose of the Study:

    • To present a new method for numerically smoothing digitized signals.
    • To reduce the number of operations required for signal smoothing.
    • To enhance the quality of smoothed signals, particularly for physiological data.

    Main Methods:

    • Analytical description of the smoothing process using sinc functions.
    • Implementation of adaptive smoothing with a varying step size.

    Related Experiment Videos

  • Deterministic approach utilizing instantaneous signal values rather than average disturbance information.

    • Main Results:

    • The proposed method reduces computational operations for signal smoothing.
    • Adaptive smoothing demonstrates potential for increasing signal quality.
    • Experimental results validate the effectiveness of the adaptive smoothing technique.

    Conclusions:

    • The novel adaptive smoothing method offers significant improvements in efficiency and quality for digitized signal processing.
    • The technique is particularly beneficial for analyzing noisy physiological signals.
    • Further research can explore the full potential of adaptive smoothing in various signal processing applications.