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Reduction of Effects of Noise on the Inverse Problem of Electrocardiography With Bayesian Estimation.

, , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)

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Ranking a Random Feature for Variable and Feature Selection., , , and . J. Mach. Learn. Res., (2003)Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators., , , and . Comput. Methods Programs Biomed., 88 (3): 217-233 (2007)New Insights Into Non-Invasive His Bundle Potential Detection on High Resolution Body Surface Recordings., , , , and . CinC, page 1-4. IEEE, (2020)A Comparison of Discretization Methods for the Inverse Problem of Electrocardiography., , , , and . CinC, www.cinc.org, (2016)Practical indoor localization using ambient RF., , , , , and . I2MTC, page 1125-1129. IEEE, (2013)Early Signs of Critical Slowing Down in Heart Surface Electrograms of Ventricular Fibrillation Victims., , , , , , and . ICCS (4), volume 12140 of Lecture Notes in Computer Science, page 334-347. Springer, (2020)Exploring Possible Choices of the Tikhonov Regularization Parameter for the Method of Fundamental Solution in Electrocardiography., , and . CinC, www.cinc.org, (2017)An Automated Platform to Standardize Position in the Left Atrium and Map Electrophysiological Data., , , , , , , , , and 2 other author(s). CinC, page 1-4. IEEE, (2019)Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography., , , , , , , , , and 2 other author(s). CinC, page 1-4. www.cinc.org, (2018)Impact of baseline drift removal on ECG beat classification and alignment., , , , , , , , and . CinC, page 1-4. IEEE, (2021)