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Organization tracki...
Organization tracking of long-term atrial fibrillation recordings: differences between paroxysmal and persistent episodes
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Alcaraz, Raul (author)
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- Sandberg, Frida (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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- Sörnmo, Leif (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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Rieta, JJ (author)
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(creator_code:org_t)
- 2009
- 2009
- English.
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In: [Host publication title missing]. ; 36, s. 509-512
- Related links:
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http://www.cinc.org/... (free)
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Abstract
Subject headings
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- In this work, a method for non-invasive assessment of AF organization has been applied to discriminating between paroxysmal and long-term persistent AF episodes. Following extraction of the atrial activity (AA) signal, the dominant atrial frequency (DAF) of the AA was computed based on a hidden Markov model. Finally, the main atrial wave (MAW) was obtained by bandpass filtering centered on the DAF, thus providing a time series suitable for AF organization estimation with sample entropy (SampEn). The performance of the method was evaluated on 24-h Holter recordings with long-term changes in AF organization. The results showed that episodes of paroxysmal AF (0.06930.0147) were consistently associated with lower SampEn than episodes with persistent AF (0.10560.0146). Moreover, 94.2% of 1-min segments with paroxysmal AF and 88.6% of 1-min segments with persistent AF could be correctly classified based on Samp- En information, thus making it possible to classify longterm recordings of patients without AF history.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Publication and Content Type
- kon (subject category)
- ref (subject category)
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