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Wavelet-based event detection in implantable cardiac rhythm management devices

Åström, Mattias LU ; Olmos, S and Sörnmo, Leif LU (2006) In IEEE Transactions on Biomedical Engineering 53(3). p.478-484
Abstract
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... (More)
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. (Less)
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
event detection, implantable cardiac devices, electrogram, pacemakers, wavelets
in
IEEE Transactions on Biomedical Engineering
volume
53
issue
3
pages
478 - 484
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000235560400013
  • scopus:33344468504
  • pmid:16532774
ISSN
1558-2531
DOI
10.1109/TBME.2005.869775
language
English
LU publication?
yes
id
156588be-ce97-43a4-b05b-7149f67a1ed0 (old id 417153)
date added to LUP
2016-04-01 16:44:05
date last changed
2020-12-15 03:34:00
@article{156588be-ce97-43a4-b05b-7149f67a1ed0,
  abstract     = {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.},
  author       = {Åström, Mattias and Olmos, S and Sörnmo, Leif},
  issn         = {1558-2531},
  language     = {eng},
  number       = {3},
  pages        = {478--484},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Biomedical Engineering},
  title        = {Wavelet-based event detection in implantable cardiac rhythm management devices},
  url          = {http://dx.doi.org/10.1109/TBME.2005.869775},
  doi          = {10.1109/TBME.2005.869775},
  volume       = {53},
  year         = {2006},
}