Anastasios G. Skrivanos

Hardware Aspects of Machine Learning-Based Cardiac Fibrillation Diagnosis

This paper presents the hardware aspects of a Hjorth-parameter deep neural network (DNN)-based cardiac fibrillation diagnosis pipeline targeting low-power Internet of Medical Things (IoMT) devices and ASIC implementations. Building on earlier edge-to-cloud studies where Hjorth ac...