State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review.

ABSTRACT:

Background

Electrocardiogram (ECG) is one of the most common noninvasive diagnostic tools that can provide useful information regarding a patient's health status. Deep learning (DL) is an area of intense exploration that leads the way in most attempts to create powerful diagnostic models based on physiological signals.

Objective

This study aimed to provide a systematic review of DL methods applied to ECG data for various clinical applications.

Methods

The PubMed search engine was systematically searched by combining "deep learning" and keywords such as "ecg," "ekg," "electrocardiogram," "electrocardiography," and "electrocardiology." Irrelevant articles were excluded from the study after screening titles and abstracts, and the remaining articles were further reviewed.

SUBMITTER: Petmezas G 

PROVIDER: S-EPMC9425174 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature