Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis.
Short-term properties of atrial fibrillation (AF) frequency, f-wave morphology, and irregularity parameters have been thoroughly studied, but not long-term properties. In the present work, f-wave morphology is characterized by principal component analysis, introducing a novel temporal parameter defi...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 52; no. 12; pp. 1053 - 1061 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103853460&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103853460 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2014 vid: 52 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 103853460 NLM25284217 2012794284 10.1007/s11517-014-1199-x NLM25284217 103853460 ppf: 1053 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Long-term characterization of persistent atrial fibrillation: wave morphology, frequency, and irregularity analysis. aug: au: Goya-Esteban, Rebeca Sandberg, Frida Barquero-Pérez, Oscar García-Alberola, Arcadio Sörnmo, Leif Rojo-Alvarez, José Luis Barquero-Pérez, Óscar Rojo-Álvarez, José Luis affil: Department of Signal Theory and Communications, Rey Juan Carlos University, Camino del Molino s/n, 28943, Fuenlabrada, Spain, rebeca.goyaesteban@urjc.es. sug: subj: Atrial Fibrillation Physiopathology Electrocardiography, Ambulatory Methods Signal Processing, Computer Assisted Circadian Rhythm Physiology Female Human Male Middle Age Factor Analysis Reproducibility of Results Middle Aged: 45-64 years Female Male ab: Short-term properties of atrial fibrillation (AF) frequency, f-wave morphology, and irregularity parameters have been thoroughly studied, but not long-term properties. In the present work, f-wave morphology is characterized by principal component analysis, introducing a novel temporal parameter defined by the cumulative normalized variance of the three largest principal components (r3). Based on 7-day recordings from nine patients with stable chronic heart failure and persistent AF, long-term properties were studied in terms of r3 AF frequency, and sample entropy (SampEn). The main result of the present study is that detection of circadian rhythms depends on the parameter considered: rhythms were found in six (r3, SampEn) and five (AF frequency) patients, but not always in the same patient. Another important result is that circadian rhythms detected in 7-day recordings could not always be detected in 24-h periods, thus shedding new light on the results in previous studies which all were based on 24-h recordings. Infradian rhythms were found in four (r3, SampEn) and one (AF frequency) patients. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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