Detection of occult paroxysmal atrial fibrillation.
This work introduces a novel approach to the detection of brief episodes of paroxysmal atrial fibrillation (PAF). The proposed detector is based on four parameters which characterize RR interval irregularity, P-wave absence, f-wave presence, and noise level, of which the latter three are determined...
| Published in: | Medical & Biological Engineering & Computing Vol. 53; no. 4; pp. 287 - 298 |
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| Main Authors: | , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Apr2015
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109710305&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109710305 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2015 vid: 53 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109710305 NLM25502852 2012940756 10.1007/s11517-014-1234-y NLM25502852 109710305 ppf: 287 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Detection of occult paroxysmal atrial fibrillation. aug: au: Petrenas, Andrius Sörnmo, Leif Lukosevicius, Arnas Marozas, Vaidotas Petrėnas, Andrius Lukoševičius, Arūnas affil: Biomedical Engineering Institute, Kaunas University of Technology, 44029, Kaunas, Lithuania sug: ab: This work introduces a novel approach to the detection of brief episodes of paroxysmal atrial fibrillation (PAF). The proposed detector is based on four parameters which characterize RR interval irregularity, P-wave absence, f-wave presence, and noise level, of which the latter three are determined from a signal produced by an echo state network. The parameters are used for fuzzy logic classification where the decisions involve information on prevailing signal quality; no training is required. The performance is evaluated on a large set of test signals with brief episodes of PAF. The results show that episodes with as few as five beats can be reliably detected with an accuracy of 0.88, compared to 0.82 for a detector based on rhythm information only (the coefficient of sample entropy); this difference in accuracy increases when atrial premature beats are present. The results also show that the performance remains essentially unchanged at noise levels up to [Formula: see text] RMS. It is concluded that the combination of information on ventricular activity, atrial activity, and noise leads to substantial improvement when detecting brief episodes of PAF. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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