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    VERB: VFCDM-Based Electrocardiogram Reconstruction and Beat Detection Algorithm

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    Authors
    Bashar, Syed Khairul
    Walkey, Allan J.
    McManus, David D.
    Chon, Ki H.
    UMass Chan Affiliations
    Department of Medicine, Division of Cardiovascular Medicine
    Document Type
    Journal Article
    Publication Date
    2019-01-21
    Keywords
    Electrocardiogram
    QRS complex
    T-wave
    peak detection
    signal reconstruction
    variable frequency complex demodulation
    Analytical, Diagnostic and Therapeutic Techniques and Equipment
    Biomedical Engineering and Bioengineering
    Cardiology
    Cardiovascular Diseases
    Cardiovascular System
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    Link to Full Text
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6860377/
    Abstract
    We have developed a novel method to accurately detect QRS complex peaks using the variable frequency complex demodulation (VFCDM) method. The approach's novelty stems from reconstructing an ECG signal using only the frequency components associated with the QRS waveforms by VFCDM decomposition. After signal reconstruction, both top and bottom sides of the signal are used for peak detection, after which we compare locations of the peaks detected from both sides to ensure false peaks are minimized. Finally, we impose position-dependent adaptive thresholds to remove any remaining false peaks from the prior step. We applied the proposed method to the widely benchmarked MIT-BIH arrhythmia dataset, and obtained among the best results compared to many of the recently published methods. Our approach resulted in 99.94% sensitivity, 99.95% positive predictive value and a 0.11% detection error rate. Three other datasets-the MIMIC III database, University of Massachusetts atrial fibrillation data, and SCUBA diving in salt water ECG data-were used to further test the robustness of our proposed algorithm. For all these three datasets, our method retained consistently higher accuracy when compared to the BioSig Matlab toolbox, which is publicly available and known to be reliable for ECG peak detection.
    Source

    Bashar SK, Walkey AJ, McManus DD, Chon KH. VERB: VFCDM-Based Electrocardiogram Reconstruction and Beat Detection Algorithm. IEEE Access. 2019;7:13856-13866. doi: 10.1109/ACCESS.2019.2894092. Epub 2019 Jan 21. PMID: 31741809; PMCID: PMC6860377. Link to article on publisher's site

    DOI
    10.1109/ACCESS.2019.2894092
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/29520
    PubMed ID
    31741809
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    ae974a485f413a2113503eed53cd6c53
    10.1109/ACCESS.2019.2894092
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