Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localization Using Reinforcement Learning
Abstract Matched filters are widely used to localize signal patterns due to their high efficiency and interpretability. However, their effectiveness deteriorates for low signal-to-noise ratio (SNR) signals, such as those recorded on edge devices, where prominent noise patterns can closely resemble the target within the...