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BMC Medical Informatics and Decision Making

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Open Access 01-12-2023 | Research

Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm

Authors: Annisa Darmawahyuni, Siti Nurmaini, Muhammad Naufal Rachmatullah, Prazna Paramitha Avi, Samuel Benedict Putra Teguh, Ade Iriani Sapitri, Bambang Tutuko, Firdaus Firdaus

Published in: BMC Medical Informatics and Decision Making | Issue 1/2023

Abstract

Background

Signal delineation of a standard 12-lead electrocardiogram (ECG) is a decisive step for retrieving complete information and extracting signal characteristics for each lead in cardiology clinical practice. However, it is arduous to manually assess the leads, as a variety of signal morphological variations in each lead have potential defects in recording, noise, or irregular heart rhythm/beat.

Method

A computer-aided deep-learning algorithm is considered a state-of-the-art delineation model to classify ECG waveform and boundary in terms of the P-wave, QRS-complex, and T-wave and indicated the satisfactory result. This study implemented convolution layers as a part of convolutional neural networks for automated feature extraction and bidirectional long short-term memory as a classifier. For beat segmentation, we have experimented beat-based and patient-based approach.

Results

The empirical results using both beat segmentation approaches, with a total of 14,588 beats were showed that our proposed model performed excellently well. All performance metrics above 95% and 93%, for beat-based and patient-based segmentation, respectively.

Conclusions

This is a significant step towards the clinical pertinency of automated 12-lead ECG delineation using deep learning.

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Title: Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm
Authors: Annisa Darmawahyuni
Siti Nurmaini
Muhammad Naufal Rachmatullah
Prazna Paramitha Avi
Samuel Benedict Putra Teguh
Ade Iriani Sapitri
Bambang Tutuko
Firdaus Firdaus
Publication date: 01-12-2023
Publisher: BioMed Central
Published in: BMC Medical Informatics and Decision Making / Issue 1/2023
Electronic ISSN: 1472-6947
DOI: https://doi.org/10.1186/s12911-023-02233-0

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Springer Medicine

Improved delineation model of a standard 12-lead electrocardiogram based on a deep learning algorithm

Abstract

Background

Method

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Method

Results

Conclusions

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