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Wavelet-based event detection in implantable cardiac rhythm management devices

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3 Author(s)
Astrom, M. ; Dept. of Electron. Eng. & Commun., Zaragoza Univ., Spain ; Olmos, S. ; Sornmo, L.

This paper presents a novel event detector for implantable devices. The algorithm is based on a signal model which describes an event as a linear combination of basis functions. The linear combination involves two fundamental electrogram waveforms represented at different time scales. An efficient, low-complexity detector is developed using the dyadic wavelet transform with integer filter coefficients, and a generalized likelihood ratio test. The results show that reliable detection is obtained at an intermediate signal-to-noise ratio (SNR=25 dB) for various common noise sources. In terms of probabilities of missed events and false alarms, an over-all performance of 0.7% and 0.1%, respectively, was achieved on electrograms corrupted by the different noise types at an intermediate SNR.

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Biomedical Engineering, IEEE Transactions on  (Volume:53 ,  Issue: 3 )