Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

A noise-adaptive method for detection of brief episodes of paroxysmal atrial fibrillation

Petrenas, Andrius ; Sornmo, Leif LU ; Marozas, Vaidotas and Lukosevicius, Arunas (2013) 2013 40th Computing in Cardiology Conference, CinC 2013 40. p.739-742
Abstract

The aim of this work is to develop a method for detection of brief episode paroxysmal atrial fibrillation (PAF). The proposed method utilizes four different features: RR interval irregularity, absence of P waves, presence of f-waves and noise level. The obtained features are applied to the Mamdani-type fuzzy inference method for decisionmaking. The performance was evaluated on one hundred 90 s long surrogate ECG signals with brief PAF episodes (5-30 beats). The robustness to noise in ECGs where noise level in each set is incremented in steps of 0.01 mV from 0 to 0.2 mV was examined as well. When compared to the coefficient of sample entropy, our method showed considerably better performance for low and moderate noise levels (< 0.06... (More)

The aim of this work is to develop a method for detection of brief episode paroxysmal atrial fibrillation (PAF). The proposed method utilizes four different features: RR interval irregularity, absence of P waves, presence of f-waves and noise level. The obtained features are applied to the Mamdani-type fuzzy inference method for decisionmaking. The performance was evaluated on one hundred 90 s long surrogate ECG signals with brief PAF episodes (5-30 beats). The robustness to noise in ECGs where noise level in each set is incremented in steps of 0.01 mV from 0 to 0.2 mV was examined as well. When compared to the coefficient of sample entropy, our method showed considerably better performance for low and moderate noise levels (< 0.06 mV) with an area under the receiver operating characteristic curve of 0.9 and 0.94, respectively. Similar performance is expected for higher noise levels as atrial activity is less used in the detection process. Finally, the results suggest that our method is more robust to false alarms due to ectopic beats or other irregular rhythms than the method under comparison.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2013 Computing in Cardiology
volume
40
article number
6713483
pages
4 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2013 40th Computing in Cardiology Conference, CinC 2013
conference location
Zaragoza, Spain
conference dates
2013-09-22 - 2013-09-25
external identifiers
  • scopus:84894210367
ISBN
9781479908844
language
English
LU publication?
yes
id
ff8ed3bf-e083-4b07-bbaf-24a72071014a
alternative location
https://ieeexplore.ieee.org/document/6713483
date added to LUP
2019-06-04 15:44:18
date last changed
2022-01-31 21:25:50
@inproceedings{ff8ed3bf-e083-4b07-bbaf-24a72071014a,
  abstract     = {{<p>The aim of this work is to develop a method for detection of brief episode paroxysmal atrial fibrillation (PAF). The proposed method utilizes four different features: RR interval irregularity, absence of P waves, presence of f-waves and noise level. The obtained features are applied to the Mamdani-type fuzzy inference method for decisionmaking. The performance was evaluated on one hundred 90 s long surrogate ECG signals with brief PAF episodes (5-30 beats). The robustness to noise in ECGs where noise level in each set is incremented in steps of 0.01 mV from 0 to 0.2 mV was examined as well. When compared to the coefficient of sample entropy, our method showed considerably better performance for low and moderate noise levels (&lt; 0.06 mV) with an area under the receiver operating characteristic curve of 0.9 and 0.94, respectively. Similar performance is expected for higher noise levels as atrial activity is less used in the detection process. Finally, the results suggest that our method is more robust to false alarms due to ectopic beats or other irregular rhythms than the method under comparison.</p>}},
  author       = {{Petrenas, Andrius and Sornmo, Leif and Marozas, Vaidotas and Lukosevicius, Arunas}},
  booktitle    = {{2013 Computing in Cardiology}},
  isbn         = {{9781479908844}},
  language     = {{eng}},
  month        = {{12}},
  pages        = {{739--742}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{A noise-adaptive method for detection of brief episodes of paroxysmal atrial fibrillation}},
  url          = {{https://ieeexplore.ieee.org/document/6713483}},
  volume       = {{40}},
  year         = {{2013}},
}