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Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation

Alcaraz Martinez, Raul; Sandberg, Frida LU ; Sörnmo, Leif LU and Rieta, José Joaquín (2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 In Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE p.4558-4561
Abstract
Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. At an early stage of the disease, AF may terminate spontaneously and is then referred to as paroxysmal AF. On the other hand, when external intervention is required for the arrhythmia to terminate, it is referred to as persistent AF. In this work, a method to discriminate between paroxysmal and persistent AF in the long-term ECGs is presented. The dominant frequency as well as the organization of the atrial activity are employed to characterize AF. The dominant atrial frequency (DAF) is estimated using hidden Markov model based frequency tracking, and organization is estimated by the sample entropy of the main atrial wave (MAW) and the first two harmonics,... (More)
Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. At an early stage of the disease, AF may terminate spontaneously and is then referred to as paroxysmal AF. On the other hand, when external intervention is required for the arrhythmia to terminate, it is referred to as persistent AF. In this work, a method to discriminate between paroxysmal and persistent AF in the long-term ECGs is presented. The dominant frequency as well as the organization of the atrial activity are employed to characterize AF. The dominant atrial frequency (DAF) is estimated using hidden Markov model based frequency tracking, and organization is estimated by the sample entropy of the main atrial wave (MAW) and the first two harmonics, respectively. Long-term variations in DAF and organization from 50 ECG recordings were evaluated, showing that episodes of paroxysmal AF were consistently associated with lower DAF and organization of the MAW and the harmonics, than was persistent AF. Discrimination of paroxysmal and persistent AF resulted in classification rates of 84.1±26.1%, thus suggesting that it possible to discriminate between paroxysmal and persistent AF in patients without previously known AF history. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
diseases, electrocardiography, hidden Markov models, physiological models, ECG, arrhythmia, atrial fibrillation, dominant atrial frequency, entropy, main atrial wave
in
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
pages
4558 - 4561
conference name
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
external identifiers
  • Scopus:78650846196
ISSN
1557-170X
ISBN
978-1-4244-4123-5
DOI
10.1109/IEMBS.2010.5626528
language
English
LU publication?
yes
id
c4fad7af-5b57-4c49-88c1-a70968d5d91b (old id 1790310)
date added to LUP
2011-03-01 14:19:19
date last changed
2016-10-13 04:31:59
@misc{c4fad7af-5b57-4c49-88c1-a70968d5d91b,
  abstract     = {Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. At an early stage of the disease, AF may terminate spontaneously and is then referred to as paroxysmal AF. On the other hand, when external intervention is required for the arrhythmia to terminate, it is referred to as persistent AF. In this work, a method to discriminate between paroxysmal and persistent AF in the long-term ECGs is presented. The dominant frequency as well as the organization of the atrial activity are employed to characterize AF. The dominant atrial frequency (DAF) is estimated using hidden Markov model based frequency tracking, and organization is estimated by the sample entropy of the main atrial wave (MAW) and the first two harmonics, respectively. Long-term variations in DAF and organization from 50 ECG recordings were evaluated, showing that episodes of paroxysmal AF were consistently associated with lower DAF and organization of the MAW and the harmonics, than was persistent AF. Discrimination of paroxysmal and persistent AF resulted in classification rates of 84.1±26.1%, thus suggesting that it possible to discriminate between paroxysmal and persistent AF in patients without previously known AF history.},
  author       = {Alcaraz Martinez, Raul and Sandberg, Frida and Sörnmo, Leif and Rieta, José Joaquín},
  isbn         = {978-1-4244-4123-5},
  issn         = {1557-170X},
  keyword      = {diseases,electrocardiography,hidden Markov models,physiological models,ECG,arrhythmia,atrial fibrillation,dominant atrial frequency,entropy,main atrial wave},
  language     = {eng},
  pages        = {4558--4561},
  series       = {Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE},
  title        = {Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation},
  url          = {http://dx.doi.org/10.1109/IEMBS.2010.5626528},
  year         = {2010},
}