Authors:
Federica Censi
1
;
Giovanni Calcagnini
1
;
Pietro Bartolini
1
;
Chiara Ricci
2
;
Renato Pietro Ricci
3
and
Massimo Santini
3
Affiliations:
1
Istituto Superiore di Sanità, Italy
;
2
Univ. of Rome "La Sapienza", Italy
;
3
San Filippo Neri Hospital, Italy
Keyword(s):
Principal component analysis, atrial fibrillation, P-wave, not dipolar components.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
Abstract:
Aim of this study is to perform the principal component analysis (PCA) of the P-wave in patients prone to atrial fibrillation (AF). Eighteen patients affected by paroxysmal AF and implanted with dual chamber pacemakers were studied. Two 5-minute ECG recordings were performed: during spontaneous (SR) and paced rhythm (PR). ECG signals were acquired using a 32-lead mapping system (2048 Hz, 24 bit, 0-400 Hz bandwidth). For each patient, PCA of the averaged P-waves extracted in any of the 32 leads has been performed. We extracted PCA parameters related to the dipolar (using the first 3 PCs) and not dipolar (from the 4th to the 32nd PCs) components of the
P-wave. The number of PCs according to the latent root criterion ranges between 2 and 3 during SR and between 2 and 4 during PR. PCA parameters related to the 3 largest PCs, and describing the dipolar component of the
P-wave, did not significantly differ during SR and PR. The not dipolar components during SR were significantly lower
than during PR (PCAres%: 0.03±0.06 vs 0.12±0.21, p=0.001; PCAres [mV4]: 0.10±0.14 vs 0.49±0.73, p=0.001). Factor analysis showed that on average all leads contributes to the first principal component.
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