A pacemaker sensing algorithm for low amplitude p-wave detection

A pacemaker sensing algorithm is devised for p-wave detection in low SNR atrial electrograms. The algorithm uses three parameters, amplitude, slew rate, and p-p interval, and a fuzzy neural network structure is adopted to combine their characteristics. The signal characteristic of the current event is compared to those of three most recent p-waves, and the similarity and dissimilarity between them are used to determine if the event is a p-wave. In addition, the distributions of the characteristics of recent p-waves are considered such that a wider distribution takes a less synaptic weight