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T-wave Alternans Presence in Young Competitive Athletes - to Be or Not to Be Accepted as a Prognostic Factor?.

, , , , и . CinC, www.cinc.org, (2017)

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Giovanni Lamura

Giovanni Falcone

Giovanni Natale

Giovanni Bacigalupo

Giovanni Caselotti

 

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An interactive framework for an analysis of ECG signals., и . Artif. Intell. Medicine, 24 (2): 109-132 (2002)Noise processing in exercise ECG stress test for the analysis and the clinical characterization of QRS and T wave alternans., , , и . Biomed. Signal Process. Control., (2015)3-D ECG images with Deep Learning Approach for Identification of Cardiac Abnormalities from a Variable Number of Leads.. CinC, стр. 1-4. IEEE, (2021)Hemodialysis-Induced ST-Segment Deviation., , , , , и . CinC, стр. 1133-1136. www.cinc.org, (2015)The Quantitative Management of Linguistic Terms in a Knowledge Engineering Tool: Application to Medical Reasoning., и . AIME, том 38 из Lecture Notes in Medical Informatics, стр. 135-144. Springer, (1989)An architecture of fuzzy neural networks for linguistic processing.. Fuzzy Sets Syst., 100 (1-3): 197-215 (1998)Assessment of the Potential of Morphological ECG Features for Person Identification., , , , и . CinC, стр. 921-924. www.cinc.org, (2015)QRS and T Loops Area Changes During Haemodialysis., , , , и . CinC, стр. 409-412. www.cinc.org, (2014)Neural and traditional techniques in diagnostic ECG classification., и . ICASSP, стр. 123-126. IEEE Computer Society, (1997)Rule-Based Method and Deep Learning Networks for Automatic Classification of ECG., , и . CinC, стр. 1-4. IEEE, (2020)