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Wavelet-based event detection in implantable cardiac rhythm management devices

Author

Summary, in English

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.

Publishing year

2006

Language

English

Pages

478-484

Publication/Series

IEEE Transactions on Biomedical Engineering

Volume

53

Issue

3

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Medical Engineering

Keywords

  • event detection
  • implantable cardiac devices
  • electrogram
  • pacemakers
  • wavelets

Status

Published

ISBN/ISSN/Other

  • ISSN: 1558-2531