Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications.
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Elevated glycated hemoglobin levels may increase the risk of atrial fibrillation in patients with diabetes mellitusDeveloping a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation.Central tendency measure and wavelet transform combined in the non-invasive analysis of atrial fibrillation recordings.Application of Wavelet Entropy to predict atrial fibrillation progression from the surface ECGA genotype-dependent intermediate ECG phenotype in patients with persistent lone atrial fibrillation genotype ECG-phenotype correlation in atrial fibrillation.Analysis of atrial fibrillation: from electrocardiogram signal processing to clinical management.Early and comprehensive management of atrial fibrillation: proceedings from the 2nd AFNET/EHRA consensus conference on atrial fibrillation entitled 'research perspectives in atrial fibrillation'.Computational mapping in atrial fibrillation: how the integration of signal-derived maps may guide the localization of critical sources.The ECG as a tool to determine atrial fibrillation complexity.Atrial fibrillatory rate in the clinical context: natural course and prediction of intervention outcome.Surface ECG f Wave Analysis at Initial Onset of Paroxysmal and Persistent Atrial Fibrillation.Toward discerning the mechanisms of atrial fibrillation from surface electrocardiogram and spectral analysis.The effect of head-up tilt upon markers of heart rate variability in patients with atrial fibrillation.Dynamics of AV coupling during human atrial fibrillation: role of atrial rate.Electrocardiographic Spectral Features for Long-Term Outcome Prognosis of Atrial Fibrillation Catheter Ablation.Predictors of successful cardioversion with vernakalant in patients with recent-onset atrial fibrillation.On the preprocessing of atrial electrograms in atrial fibrillation: understanding Botteron's approach.Identifizieren von Patienten mit Vorhofflimmern anhand von HRV-Parametern / Identification of patients with atrial fibrillation using HRV parametersSpatial complexity and spectral distribution variability of atrial activity in surface ECG recordings of atrial fibrillationAtrial Activity Extraction Based on Statistical and Spectral Features
P2860
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P2860
Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Analysis of surface electrocar ...... ch, and clinical applications.
@ast
Analysis of surface electrocar ...... ch, and clinical applications.
@en
type
label
Analysis of surface electrocar ...... ch, and clinical applications.
@ast
Analysis of surface electrocar ...... ch, and clinical applications.
@en
prefLabel
Analysis of surface electrocar ...... ch, and clinical applications.
@ast
Analysis of surface electrocar ...... ch, and clinical applications.
@en
P2093
P2860
P50
P356
P1433
P1476
Analysis of surface electrocar ...... rch, and clinical applications
@en
P2093
Andreas Bollmann
Daniela Husser
José Millet
Leif Sörnmo
Luca Mainardi
Martin Stridh
Philip Langley
S Bertil Olsson
P2860
P304
P356
10.1093/EUROPACE/EUL113
P577
2006-11-01T00:00:00Z