R-wave detection for pacemakers using a matched filter based on an artificial neural network
A matched filter composed of a time lagged feedforward artificial neural Network (TLFN) and a pulse-shaping filter is used in a noisy environment to detect R-waves for pacemakers. The TLFN reduces the influence of lower frequencies in the invasive electrogram (EGM) signals, e.g. P and T waves, and conditions the EGM to optimize the performance of the dynamically updated matched filter. Detector pe