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A global training model for beat classification using basic electrocardiogram morphological features

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Version 2 2024-06-04, 04:38
Version 1 2022-01-01, 00:00
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posted on 2024-06-04, 04:38 authored by S Sumesh, John YearwoodJohn Yearwood, Shamsul HudaShamsul Huda, S Ahmad
A global training model for beat classification using basic electrocardiogram morphological features

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  1. 1.
    DOI - Is version of https://doi.org/10.32604/cmc.2022.015474

Location

Encino, Calif.

Open access

  • Yes

Link to full text

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Journal

Computers, Materials and Continua

Volume

70

Pagination

4503-4521

ISSN

1546-2218

eISSN

1546-2226

Issue

3

Publisher

Tech Science Press

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    Research Publications

    Categories

    Keywords

    adaptive trainingComputer ScienceComputer Science, Information SystemsECGglobalHRVMaterials ScienceMaterials Science, Multidisciplinarymorphological featuremultilayer perceptron (MLP)NEURAL-NETWORKrandom forest (RF)Science & Technologysupport vector machine (SVM)Technology4905 Statistics

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    All Rights Reserved

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