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An interactive framework for an analysis of ECG signals.

, and . Artif. Intell. Medicine, 24 (2): 109-132 (2002)

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An interactive framework for an analysis of ECG signals., and . Artif. Intell. Medicine, 24 (2): 109-132 (2002)Classification of electrocardiographic signals: a fuzzy pattern matching approach., , and . Artif. Intell. Medicine, 3 (4): 211-226 (1991)Load Dependent Changes of Cardiac Depolarization and Repolarization during Exercise ECG Test., , and . CinC, page 547-550. www.cinc.org, (2013)Gender Related Modification in ECG and VCG in Elderly People., , and . CinC, page 1-4. IEEE, (2020)Dynamic Filtration of High-Frequency Noise in ECG Signal., and . CinC, page 1089-1092. www.cinc.org, (2014)Noise processing in exercise ECG stress test for the analysis and the clinical characterization of QRS and T wave alternans., , , and . Biomed. Signal Process. Control., (2015)Hemodialysis-Induced ST-Segment Deviation., , , , , and . CinC, page 1133-1136. www.cinc.org, (2015)3-D ECG images with Deep Learning Approach for Identification of Cardiac Abnormalities from a Variable Number of Leads.. CinC, page 1-4. IEEE, (2021)Fuzzy pattern classification and the connectionist approach., , and . Pattern Recognit. Lett., 17 (6): 661-670 (1996)T-wave Alternans Presence in Young Competitive Athletes - to Be or Not to Be Accepted as a Prognostic Factor?., , , , and . CinC, www.cinc.org, (2017)