Authors:
Rebeca Goya-Esteban
1
;
Frida Sandberg
2
;
Óscar Barquero-Pérez
1
;
Arcadio Garcia-Alberola
3
;
Leif Sörnmo
2
and
José Luis Rojo-Álvarez
1
Affiliations:
1
Rey Juan Carlos University, Spain
;
2
Lund University, Sweden
;
3
Hospital Universitario Virgen de la Arrixaca de Murcia, Spain
Keyword(s):
Atrial Fibrillation, Morphology, Principal Component Analysis, Sample Entropy, Circadianity.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Cardiovascular Signals
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
In the present work, f-wave morphology is characterized by principal component analysis and a novel temporal parameter defined by the cumulative normalized variance of the 3 largest principal components (r3). The 7-day behavior of persistent atrial fibrillation (AF) was studied in 9 patients using r3, AF frequency, and sample entropy (SampEn). Detection of circadian rhythms depended on the parameter considered: rhythms were found in 6 (r3, SampEn) and 5 (AF frequency) patients, but interestingly not always in the same patients. Two patients had significant circadian rhythm in all parameters. When a circadian rhythm was significantly present in 7 days, it was usually only significantly present in some of the 24-h segments. It is concluded that detailed AF characterization can be achieved with complementary parameters.