Impact of ECG data format on the performance of machine learning models for the prediction of myocardial infarction

Author:

Bellfield Ryan A.A.,Ortega-Martorell Sandra,Lip Gregory Y.H.,Oxborough David,Olier Ivan

Funder

Liverpool John Moores University

Publisher

Elsevier BV

Reference26 articles.

1. Development and validation of an algorithm for the digitization of ECG paper images;Randazzo;Sensors,2022

2. A review of ECG storage formats;Bond;Int J Med Inform,2011

3. Deep learning and the electrocardiogram: review of the current state-of-the-art;Somani;Europace,2021

4. A review on deep learning methods for ECG arrhythmia classification;Ebrahimi;Expert Syst with Appl X,2020

5. The Athlete’s heart and machine learning: a review of current implementations and gaps for future research;Bellfield;J Cardiovasc Dev Dis,2022

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