Key result
Three leads optimize 12-lead ECG reconstruction with correlations exceeding ~0.90 across algorithms.
Why the study?
To review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches, evaluate their predictive strengths, and investigate implications of reconstruction methods.
What are the optimal algorithms and lead combinations for reconstructing a 12-lead ECG?
What are the optimal algorithms and lead combinations for reconstructing a 12-lead ECG?
This review highlights that 12-lead ECGs can be accurately reconstructed using as few as three leads with both linear and nonlinear algorithms, achieving high correlation (>0.90).
Enables reduced-lead ECG exploration in research; leaves open prospective clinical validation before any practice change.
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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Obianom et al. (2025) conducted a review in 12-lead ECG reconstruction. ECG reconstruction algorithms (linear and nonlinear) vs. Standard 12-lead ECG was evaluated on Correlation of reconstructed 12-lead ECG. Three leads are optimal as input predictors for minimal 12-lead ECG reconstruction errors, with both linear and nonlinear algorithms achieving high correlations greater than 0.90.
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