loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.206.238.189

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Censi, F.; Calcagnini, G.; Bartolini, P.; Ricci, C.; Pietro Ricci, R. and Santini, M. (2008). PRINCIPAL COMPONENT ANALYSIS OF THE P-WAVE - Quantification of Not-Dipolar Components of Atrial Depolarization. In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS; ISBN 978-989-8111-18-0; ISSN 2184-4305, SciTePress, pages 551-557. DOI: 10.5220/0001060005510557

@conference{biosignals08,
author={Federica Censi. and Giovanni Calcagnini. and Pietro Bartolini. and Chiara Ricci. and Renato {Pietro Ricci}. and Massimo Santini.},
title={PRINCIPAL COMPONENT ANALYSIS OF THE P-WAVE - Quantification of Not-Dipolar Components of Atrial Depolarization},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS},
year={2008},
pages={551-557},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001060005510557},
isbn={978-989-8111-18-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2008) - Volume 2: BIOSIGNALS
TI - PRINCIPAL COMPONENT ANALYSIS OF THE P-WAVE - Quantification of Not-Dipolar Components of Atrial Depolarization
SN - 978-989-8111-18-0
IS - 2184-4305
AU - Censi, F.
AU - Calcagnini, G.
AU - Bartolini, P.
AU - Ricci, C.
AU - Pietro Ricci, R.
AU - Santini, M.
PY - 2008
SP - 551
EP - 557
DO - 10.5220/0001060005510557
PB - SciTePress