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Influence of the Training Set Size on the Subject-to-Subject Variability of the Estimation Performance of Linear ECG-Lead Transformations.

, , , , , , and . CinC, page 1-4. IEEE, (2022)

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Impediments of Using E-Learning Platforms for Teaching English: A Case Study in Jordan., , , , , , and . Int. J. Emerg. Technol. Learn., 18 (5): 95-113 (March 2023)An Adaptive Laplacian Based Interpolation Algorithm for Noise Reduction in Body Surface Potential Maps., , , , and . CinC, page 1-4. www.cinc.org, (2018)Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse Reconstruction of Cardiac Electrical Activity., , , , , and . FIMH, volume 11504 of Lecture Notes in Computer Science, page 112-120. Springer, (2019)Effects of Interpolation on the Inverse Problem of Electrocardiography., , , , , , , and . CinC, page 1-4. IEEE, (2019)Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications., , , , , , , , , and 2 other author(s). Artif. Intell. Medicine, (2022)Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the 'Black Box' of Automated ECG Interpretation., , , , , , , , , and 1 other author(s). AVI-BDA/ITAVIS@AVI, volume 12585 of Lecture Notes in Computer Science, page 96-108. Springer, (2020)ST Changes Observed in Short Spaced Bipolar Leads Suitable for Patch Based Monitoring., , , , , and . CinC, page 1-4. IEEE, (2019)Impact of baseline drift removal on ECG beat classification and alignment., , , , , , , , and . CinC, page 1-4. IEEE, (2021)Machine Learning Improves the Detection of Misplaced V1 and V2 Electrodes During 12-Lead Electrocardiogram Acquisition., , , , , , , , , and . CinC, page 1-4. IEEE, (2019)Estimating the Minimal Size of Training Datasets Required for the Development of Linear ECG-Lead Transformations., , , , , , , and . CinC, page 1-4. IEEE, (2021)