Characterization of f Waves

Sörnmo, Leif; Alcaraz, Raúl; Laguna, Pablo; Rieta, J.J.

doi:10.1007/978-3-319-68515-1_6

Cited by 7 publications

(12 citation statements)

References 173 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To overcome these limitations and to achieve predictors available for the selection of candidates for CA, more recent studies have addressed non-invasive extraction of the aforementioned metrics through automated processing of the preoperative surface ECG. Researchers have reported performance at least as good as previously proposed clinical parameters and their manually or invasively derived versions [ 22 ]. Beyond the single DF and f -wave amplitude (FWA), the presence of large harmonics of the DF has also been identified as a promising predictor of CA outcome [ 18 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Preoperative Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation Patients through Spectral Organization Analysis of the Surface Fibrillatory Waves

Escribano

Rodenas

García

et al. 2022

JPM

View full text Add to dashboard Cite

Catheter ablation (CA) is a commonly used treatment for persistent atrial fibrillation (AF). Since its medium/long-term success rate remains limited, preoperative prediction of its outcome is gaining clinical interest to optimally select candidates for the procedure. Among predictors based on the surface electrocardiogram, the dominant frequency (DF) and harmonic exponential decay (γ) of the fibrillatory waves (f-waves) have reported promising but clinically insufficient results. Hence, the main goal of this work was to conduct a broader analysis of the f-wave harmonic spectral structure to improve CA outcome prediction through several entropy-based measures computed on different frequency bands. On a database of 151 persistent AF patients under radio-frequency CA and a follow-up of 9 months, the newly introduced parameters discriminated between patients who relapsed to AF and those who maintained SR at about 70%, which was statistically superior to the DF and approximately similar to γ. They also provided complementary information to γ through different combinations in multivariate models based on lineal discriminant analysis and report classification performance improvement of about 5%. These results suggest that the presence of larger harmonics and a proportionally smaller DF peak is associated with a decreased probability of AF recurrence after CA.

show abstract

Section: Introductionmentioning

confidence: 99%

Preoperative Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation Patients through Spectral Organization Analysis of the Surface Fibrillatory Waves

Escribano

Rodenas

García

et al. 2022

JPM

View full text Add to dashboard Cite

show abstract

“…Given that lead V 1 typically exhibits the largest f -waves, this lead was used as a reference in such a way that the 12 leads were amplified by the same scalar factor to produce the desired amplitude in lead V 1 . Assuming that an f -wave can be modeled as a sinusoid, its peak-to-peak amplitude is related to the RMS value by a factor of 2.8 (Sörnmo et al 2018a).…”

Section: Methodsmentioning

confidence: 99%

“…Atrial flutter is manifested by a re-entrant wave circulating in the atria and arriving at the atrioventricular node in a much more regular fashion than the multiple excitation wavelets in AF. The high synchrony between atrial and ventricular activity will likely cause most methods of f -wave extraction to fail in the presence of atrial flutter, because they rely on the assumption that the two activities are decoupled and unsynchronized (Azman et al 2018, Sörnmo et al 2018a. Although the significance of f -waves has received much more attention in clinical research than flutter waves, it would nonetheless be useful to compile, in the future, a database with simulated ECGs containing flutter waves to evaluate the performance of methods of flutter wave extraction.…”

Section: Database With Simulated Signalsmentioning

confidence: 99%

“…Since the pathophysiological mechanisms causing and maintaining AF are still not completely understood (Schotten et al 2016), various types of noninvasive techniques have been developed to better understand the mechanisms. With respect to the ECG, the most well-established noninvasive technique, it is only fairly recently that attention has been directed towards atrial fibrillatory waves (f -waves) and their characterization (Sörnmo et al 2018a). For example, the f -wave repetition rate, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reference database and performance evaluation of methods for extraction of atrial fibrillatory waves in the ECG

2019

Self Cite

View full text Add to dashboard Cite

Objective: This study proposes a reference database, composed of a large number of simulated ECG signals in atrial fibrillation (AF), for investigating the performance of methods for extraction of atrial fibrillatory waves (f-waves). Approach: The simulated signals are produced using a recently published and validated model of 12-lead ECGs in AF. The database is composed of eight signal sets which together account for a wide range of characteristics known to represent major challenges in f-wave extraction, including high heart rates, high morphological QRST variability, and the presence of ventricular premature beats. Each set contains 30 5-min signals with different f-wave amplitudes. The database is used for the purpose of investigating the statistical association between different indices, designed either for use with real or simulated signals. Main results: Using the database, which is made available at the Physionet repository of physiological signals, the performance indices unnormalized ventricular residue (uVR), designed for real signals, and the root mean square error, designed for simulated signals, were found to exhibit the strongest association, leading to the recommendation that uVR should be used when characterizing performance in real signals. Significance: The proposed database facilitates the comparison of performance of different f-wave extraction methods and makes it possible to express performance in terms of the error between simulated and extracted f-wave signals.

show abstract

“…Grande controvérsia existe quanto ao valor da amplitude de f como marcador para inferir riscos e contribuir no direcionamento de estratégias terapêuticas em pacientes com FA. [1][2][3][4] O objetivo deste estudo foi avaliar a relação entre a amplitude das ondas f e o risco de tromboembolismo determinado por parâmetros clínicos, laboratoriais, eletrocardiográficos e ecocardiográficos, assim como a avaliação do seu impacto no resultado da cardioversão elétrica (CVE) em pacientes com FA não valvar (FANV) persistente.…”

Section: Introductionunclassified

Amplitude das Ondas F como Preditor de Tromboembolismo e de Sucesso da Cardioversão Elétrica em Pacientes com Fibrilação Atrial Persistente

Campelo¹,

Armaganijan²,

Moreira³

et al. 2022

Arquivos Brasileiros De Cardiologia

View full text Add to dashboard Cite

Fundamento: A fibrilação atrial (FA) é classificada, de acordo com a amplitude das ondas fibrilatórias (f), em ondas finas (FAf) e ondas grossas (FAg). Objetivos: Correlacionar a amplitude das ondas f com variáveis clínicas, laboratoriais, eletrocardiográficas e ecocardiográficas que indiquem alto risco de tromboembolismo e avaliar o seu impacto no sucesso da cardioversão elétrica (CVE). Métodos: Estudo retrospectivo, observacional, que incluiu 57 pacientes com FA não valvar persistente submetidos a CVE. A amplitude máxima das ondas f foi aferida na derivação V1. FAg foi definida quando f≥1,0 mm e FAf quando f<1,0mm. Os achados foram correlacionados com as variáveis indicadas. Valores de p<0,05 foram considerados estatisticamente significativos. Resultados: FAg (n=35) associou-se a maior sucesso na CVE (94,3% vs. 72,7%, p=0,036) mesmo após ajuste para variáveis como idade e IMC (p=0,026, OR=11,8). Pacientes com FAf (n=22) necessitaram mais choques e maior energia para reversão ao ritmo sinusal (p=0,019 e p=0,027, respectivamente). Não houve associação significativa entre a amplitude das ondas f e parâmetros clínicos, ecocardiográficos e laboratoriais. Conclusões: A amplitude de f não se associou a parâmetros ecocardiográficos, clínicos e laboratoriais que indicam alto risco de tromboembolismo. FAg associou-se a maior chance de sucesso na reversão ao ritmo sinusal por meio da CVE. Maior número de choques e energia foram necessários para reversão ao ritmo sinusal em pacientes com FAf.

show abstract

Characterization of f Waves

Cited by 7 publications

References 173 publications

Preoperative Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation Patients through Spectral Organization Analysis of the Surface Fibrillatory Waves

Preoperative Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation Patients through Spectral Organization Analysis of the Surface Fibrillatory Waves

Reference database and performance evaluation of methods for extraction of atrial fibrillatory waves in the ECG

Amplitude das Ondas F como Preditor de Tromboembolismo e de Sucesso da Cardioversão Elétrica em Pacientes com Fibrilação Atrial Persistente

Contact Info

Product

Resources

About