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Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings
Engineering Applications of Neural Networks
Springer, Cham, August 2017
Mario Malcangi, Hao Quan, Emanuele Vaini, Prospero Lombardi, Marco Di Rienzo
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||3||50%|
|Student > Master||1||17%|
|Readers by discipline||Count||As %|
|Nursing and Health Professions||1||17%|