Creating an energy efficient chip, which can classify ECG signals into healthy and arrhythmical using neural networks, was the goal of the first challenge for disruptive innovations in energy-efficient AI hardware initiated by the German Federal Ministry of Education and Research (BMBF). The Project Team „Low-Power Low-Memory Low-Cost ECG signal analysis using ML algorithms (Lo3-ML)“ under the Leadership of Prof. Dr. Dietmar Fey, Dr. Marc Reichenbach (Chair of Computer Science FAU), Prof. Dr. Dr. Robert Weigel (Chair of Electronics FAU), Dr. Marco Breiling (Fraunhofer IIS Erlangen) and Prof. Amelie Hagelauer (Chair of Communications Electronics, University of Bayreuth) won the first price in the category “ASIC 130 nm”.
