Reconstruction of 12-lead ECG: a review of algorithms.

IF 3.2 3区医学 Q2 PHYSIOLOGY

Frontiers in Physiology Pub Date : 2025-04-25 eCollection Date: 2025-01-01 DOI:10.3389/fphys.2025.1532284

Ekenedirichukwu N Obianom, G André Ng, Xin Li

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引用次数: 0

Abstract

Purpose: This paper aims to review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches and evaluate their predictive strengths. In addition, it investigates the implications of performing reconstruction in particular ways.

Methods: This narrative review analysed 39 works on the reconstruction of 12-lead ECGs, focusing on the algorithms used for reconstruction and the results gotten from using these algorithms.

Results: The works analysed featured the use of as little as one lead and as much as four leads for reconstruction of the other leads. Linear and nonlinear (including artificial intelligence) algorithms showed promising performances. Their outputs had correlations of greater than 0.90 depending on how the reconstruction models were built.

Conclusion: Three leads are optimal as input predictors for minimal reconstruction errors, but there is no universal algorithm that applies to every reconstruction task. Both linear and nonlinear algorithms can achieve high correlations, and minimal root means square errors. Hence, planned steps are needed when deciding how to manipulate the data and build the models to achieve high accuracies.

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12导联心电图重建：算法综述。

目的：回顾12导联心电图重构的相关文献，重点介绍各种算法方法，并对其预测能力进行评价。此外，它还调查了以特定方式进行重建的含义。方法：本文对39篇关于12导联心电图重建的文献进行了回顾性分析，重点介绍了重建所采用的算法及其结果。结果：所分析的作品特点是使用少至一根导联，多至四根导联重建其他导联。线性和非线性（包括人工智能）算法表现出良好的性能。根据重建模型的构建方式，他们的输出结果的相关性大于0.90。结论：三导联是最小重建误差的最佳输入预测因子，但没有适用于所有重建任务的通用算法。线性和非线性算法都可以实现高相关性和最小的均方根误差。因此，在决定如何操作数据和构建模型以实现高准确性时，需要计划好步骤。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Physiology PHYSIOLOGY-

CiteScore

6.50

自引率

5.00%

发文量

2608

审稿时长

14 weeks

期刊介绍： Frontiers in Physiology is a leading journal in its field, publishing rigorously peer-reviewed research on the physiology of living systems, from the subcellular and molecular domains to the intact organism, and its interaction with the environment. Field Chief Editor George E. Billman at the Ohio State University Columbus is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.