Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings

Mario Malcangi, Hao Quan, Emanuele Vaini, Prospero Lombardi, Marco Di Rienzo. Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings. In Giacomo Boracchi, Lazaros S. Iliadis, Chrisina Jayne, Aristidis Likas, editors, Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings. Volume 744 of Communications in Computer and Information Science, pages 256-264, Springer, 2017. [doi]

Abstract

Abstract is missing.