Construction of an Electrocardiogram Database Including 12 Lead Waveforms.

ABSTRACT:

Objectives

Electrocardiogram (ECG) data are important for the study of cardiovascular disease and adverse drug reactions. Although the development of analytical techniques such as machine learning has improved our ability to extract useful information from ECGs, there is a lack of easily available ECG data for research purposes. We previously published an article on a database of ECG parameters and related clinical data (ECG-ViEW), which we have now updated with additional 12-lead waveform information.

Methods

All ECGs stored in portable document format (PDF) were collected from a tertiary teaching hospital in Korea over a 23-year study period. We developed software which can extract all ECG parameters and waveform information from the ECG reports in PDF format and stored it

SUBMITTER: Chung D 

PROVIDER: S-EPMC6085199 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature