ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning - researchr publication authors

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Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Luca De Vito, Francesco Picariello, Simone Scalabrino, Ioan Tudosa, Rocco Oliveto. ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning. In Ana Cecília Roque, Denis Gracanin, Ronny Lorenz, Athanasios Tsanas, Nathalie Bier, Ana L. N. Fred, Hugo Gamboa, editors, Biomedical Engineering Systems and Technologies - 15th International Joint Conference, BIOSTEC 2022, Virtual Event, February 9-11, 2022, Revised Selected Papers. Volume 1814 of Communications in Computer and Information Science, pages 237-255, Springer, 2022. [doi]

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