RE Gregg, SH Zhou, JM Lindauer, DQ Feild… - Journal of …, 2008 - Elsevier
… and reconstructed 12-lead diagnostic ECG interpretation with 2 commonly used configurations: reconstruct precordial leads V 2 , V 3 , V 5 , and V 6 from V 1 ,V 4 , or reconstruct V 1 , V 3 …
… of the six different precordial leads are available when performing lead reconstruction. Studies that … In the current study, we wanted to reconstructleads using the fewest precordial leads …
GR Tsouri, MH Ostertag - IEEE journal of biomedical and health …, 2013 - ieeexplore.ieee.org
… leads: leads I, II, V2 and the Frank XYZ leads. Performance is evaluated via percent correlation calculations between reconstructed and original leads … for almost all leads. Adaptability of …
DQ Feild, SH Zhou, ED Helfenbein, RE Gregg… - Journal of …, 2008 - Elsevier
… Choosing basis leads close to the reconstructed lead locations enables a better reconstruction than leads that are further away. Basis leads that are on the left chest and contain the …
… In this article, the ECG reconstruction capabilities of the central cardiac dipole were compared to reconstruction … This approach proved efficient to reconstruct ECG signals. However, the …
V Gundlapalle, A Acharyya - 2022 IEEE 13th Latin America …, 2022 - ieeexplore.ieee.org
… [16] MH Ostertag and GR Tsouri, "ReconstructingECGprecordialleads from a reduced lead set using independent component analysis," 2011 Annual International Conference of the …
I Tomašić, R Trobec - IEEE reviews in biomedical engineering, 2013 - ieeexplore.ieee.org
… It was found that the proposed leads can be used to reconstruct the 12-lead system with an accuracy comparable to those for other systems with a reduced numbers of leads. The …
M Prauzek, T Peterek, S Conforto - … Engineering May 26-31, 2012, Beijing …, 2013 - Springer
… how it is possible to reconstruct ECG leads. The goal of this work is in the possibilities of reconstructionECGprecordialleads and the algorithm of reconstruction. Keywords— ECG, …
… This study has focused on the reconstruction of denoised ECG leads from noisy leads using machine learning without denoising. LR and LSTM models were used for this study. These …