Harnessing FPGA Technology for Enhanced Biomedical Computation

This research delves into sophisticated neural network frameworks like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTMs), and Deep Belief Networks (DBNs) for improved analysis of ECG signals via Field Programmable Gate Arrays (FPGAs).  The main purpose of this study is to see the advantage of FPGA in biomedical computation.