Application of frequency and sample entropy to discriminate long-term recordings of paroxysmal and persistent atrial fibrillation
(2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1790310
- author
- Alcaraz Martinez, Raul ; Sandberg, Frida LU ; Sörnmo, Leif LU and Rieta, José Joaquín
- organization
- publishing date
- 2010
- 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
- host publication
- 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
- conference location
- Buenos Aires, Argentina
- conference dates
- 2010-08-31 - 2010-09-04
- external identifiers
-
- scopus:78650846196
- pmid:21096222
- 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
- 2016-04-04 09:30:48
- date last changed
- 2022-01-29 18:16:18
@inproceedings{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}}, booktitle = {{Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE}}, isbn = {{978-1-4244-4123-5}}, issn = {{1557-170X}}, keywords = {{diseases; electrocardiography; hidden Markov models; physiological models; ECG; arrhythmia; atrial fibrillation; dominant atrial frequency; entropy; main atrial wave}}, language = {{eng}}, pages = {{4558--4561}}, 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}}, doi = {{10.1109/IEMBS.2010.5626528}}, year = {{2010}}, }