Wavelet-based event detection in implantable cardiac rhythm management devices
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/417153
- author
- Åström, Mattias LU ; Olmos, S and Sörnmo, Leif LU
- organization
- publishing date
- 2006
- 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
- 2022-02-13 00:12:06
@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}},
keywords = {{event detection; implantable cardiac devices; electrogram; pacemakers; wavelets}},
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}},
}