Wavelet based event detection in pacemakers

This paper presents a detection algorithm for pacemakers which is based on a signal model including a linear combination of descriptive functions. The functions are defined as different time scales of the two fundamental waveforms in the electrogram. An efficient detector structure is provided by the use of a dyadic wavelet transform with integer filter coefficients, followed by a generalized likelihood ratio test. The results show that reliable detection can be obtained for moderate to high noise levels for some common noise sources.