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

Wave digital matched filter for electrocardiogram preprocessing

D Ebenezer1, V Krishnamurthy

  • 1Department of Electronics and Communication, College of Engineering, Anna University, Madras, India.

Journal of Biomedical Engineering
|March 1, 1993
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

Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Short term response of plankton community to nutrient enrichment in central eastern Arabian Sea: Elucidation through mesocosm experiments.

Journal of environmental management·2021
Same author

Homology modeling, virtual screening and dynamics study of proteins involved in Pebrine - Serine protease inhibitor 106 and spore wall protein 26.

Journal of biomolecular structure & dynamics·2019
Same author

Predictability of Weather and Climate.

Earth and space science (Hoboken, N.J.)·2019
Same author

THE CONCHOCELIS PHASE OF THREE SPECIES OF PORPHYRA IN CULTURE.

Journal of phycology·2016
Same author

Pneumococcal Vaccination in Rheumatic Diseases.

The Journal of the Association of Physicians of India·2015
Same journal

Comparative study of the function of the Abiomed polyurethane heart valve for use in left ventricular assist devices.

Journal of biomedical engineering·1993
Same journal

AZTDIS--a two-phase real-time ECG data compressor.

Journal of biomedical engineering·1993
Same journal

Validation of an automated method of three-dimensional finite element modelling of bone.

Journal of biomedical engineering·1993
Same journal

Three dimensional shape reconstruction and finite element analysis of femur before and after the cementless type of total hip replacement.

Journal of biomedical engineering·1993
Same journal

The Rancho EMG analyzer: a computerized system for gait analysis.

Journal of biomedical engineering·1993
Same journal

Preparation and in vivo evaluation of a newly developed bioglass ceramic.

Journal of biomedical engineering·1993
See all related articles

Wave digital matched filters (WDMFs) offer superior performance for electrocardiography (ECG) preprocessing by minimizing errors common in digital filter algorithms. This study introduces a novel WDMF for enhanced ECG signal quality.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Digital Filtering

Background:

  • Digital filters are crucial for processing electrocardiography (ECG) data.
  • Finite word-length errors can significantly impact the performance of digital filter algorithms.
  • Wave digital filters (WDFs) are known for their inherent robustness against such errors.

Purpose of the Study:

  • To introduce a novel Wave Digital Matched Filter (WDMF) specifically designed for ECG preprocessing.
  • To evaluate the effectiveness of the proposed WDMF in mitigating finite word-length errors in ECG signals.

Main Methods:

  • Development of a Wave Digital Matched Filter (WDMF) algorithm tailored for ECG signals.
  • Implementation and testing of the WDMF, focusing on its sensitivity to finite word-length effects.

Related Experiment Videos

  • Comparative analysis with existing digital filtering techniques for ECG preprocessing.

    • Main Results:

    • The proposed WDMF demonstrates excellent sensitivity properties, minimizing errors associated with finite word-length implementation.
    • Effective preprocessing of ECG signals using the WDMF, leading to improved signal quality.
    • The WDMF outperforms traditional filters in scenarios sensitive to quantization errors.

    Conclusions:

    • Wave digital matched filters (WDMFs) provide a robust solution for ECG preprocessing.
    • The developed WDMF is a valuable tool for enhancing the accuracy and reliability of ECG analysis.
    • Further research can explore advanced WDF architectures for complex biomedical signal processing.