The project partners develop an innovative approach for energy-efficient artificial intelligence (AI) based on artificial neural networks in Field Programmable Gate Arrays (FPGAs). The aim of the project is to develop a fundamentally new AI structure based on classical CNN architectures for an FPGA using the example of 1-dimensional stream processing (artifact recognition in ECG). With the help of machine learning methods, the signal is evaluated and the result is classified. A given detection rate must be achieved and the energy requirement minimized as far as possible.