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Vicente Zarzoso
Centre national de la recherche scientifique
Blind signal separationPattern recognitionAtrial fibrillationMathematicsIndependent component analysis
145Publications
20H-index
2,091Citations
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Publications 149
Newest
#1Alex C. AlbertoH-Index: 1
#1Alex Chaves Alberto (UFRJ: Federal University of Rio de Janeiro)
Last. Jurandir NadalH-Index: 10
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Objective: Chagas disease (ChD) is a parasitic illness, largely spread over South America. ChD usually causes progressive myocardium damage, either by direct parasite action or through autoimmune response. Sudden cardiac death (SCD) is prevalent in the early disease stages, being associated with a high variety of ectopic cardiac beats. This study aims at applying heart rate variability (HRV) and heart rate turbulence (HRT) techniques over Holter electrocardiogram (ECG) records to investigate ass...
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#1Rubén Martín-Clemente (University of Seville)H-Index: 6
#2Vicente Zarzoso (CNRS: Centre national de la recherche scientifique)H-Index: 20
Principal component analysis (PCA) and Fisher's linear discriminant analysis (LDA) are widespread techniques in data analysis and pattern recognition. Recently, the L1-norm has been proposed as an alternative criterion to classical L2-norm in PCA, drawing considerable research interest on account of its increased robustness to outliers. The present work proves that, combined with a whitening preprocessing step, L1-PCA can perform LDA in an unsupervised manner, i.e., sparing the need for labelled...
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#1Pedro de OliveiraH-Index: 19
#2Vicente ZarzosoH-Index: 20
Last. C. Alexandre R. Fernandes (UFC: Federal University of Ceará)H-Index: 8
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A precise analysis of the atrial activity (AA) signal in electrocardiogram (ECG) recordings is necessary for a better understanding of the mechanisms behind atrial fibrillation (AF). Blind source separation (BSS) techniques have proven useful in extracting the AA source from ECG recordings. However, the automated selection of the AA source among the other sources after BSS is still an issue. In this scenario, the present work proposes two contributions: i) the use of the normalized mean square e...
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#1Maria Couras (CNRS: Centre national de la recherche scientifique)
#2Pablo H. de Pinho (UnB: University of Brasília)
Last. Andre L. F. de Almeida (UFC: Federal University of Ceará)H-Index: 16
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The decomposition in terms of column space is used to reduce complexity and preserve the initial information contained in the data tensor. In this paper, we propose a multidimensional column-space decomposition to perform low rank approximation of tensors based on the CX decomposition for matrices. An algorithm is also presented to perform the approximation of the tensor based on the l 2 -norm. Monte Carlo simulation results are provided to illustrate the performance of the proposed CX-tensor de...
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#1Rubén Martín-Clemente (University of Seville)H-Index: 6
#2Javier Olias (University of Seville)H-Index: 2
Last. Vicente Zarzoso (CNRS: Centre national de la recherche scientifique)H-Index: 20
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The common spatial pattern (CSP) method is a dimensionality reduction technique widely used in brain-computer interface (BCI) systems. In the two-class CSP problem, training data are linearly projected onto directions maximizing or minimizing the variance ratio between the two classes. The present contribution proves that kurtosis maximization performs CSP in an unsupervised manner, i.e., with no need for labeled data, when the classes follow Gaussian or elliptically symmetric distributions. Num...
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#1Amina Ghrissi (CNRS: Centre national de la recherche scientifique)
#2Vicente Zarzoso (CNRS: Centre national de la recherche scientifique)H-Index: 20
The non invasive analysis of atrial fibrillation (AF) arrhythmia represents a challenge nowadays. The fibrillatory pattern of AF, known as f-wave, is partially masked by the ventricular activity of the heartbeat in the surface electrocardiogram (ECG). Classical techniques aiming to extract the f-wave are based on average beat subtraction (ABS) or blind source separation (BSS). They present limitations in performance and require long ECG records as well as multi-channel records in the case of BSS...
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#1Pedro de Oliveira (CNRS: Centre national de la recherche scientifique)H-Index: 19
#2Vicente Zarzoso (CNRS: Centre national de la recherche scientifique)H-Index: 20
The estimation of the atrial activity (AA) signal in electrocardiogram (ECG) recordings is an important step in the noninvasive analysis of atrial fibrillation (AF), the most common sustained cardiac arrhythmia in clinical practice. Recently, this blind source separation (BSS) problem has been formulated as a tensor factorization, based on the block term decomposition (BTD) of a data tensor built from Hankel matrices of the observed ECG. However, this tensor factorization technique was precisely...
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#2Pedro de OliveiraH-Index: 19
Last. Pierre ComonH-Index: 42
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In some applications, blind source separation can be performed by computing an approximate block-term tensor decomposition (BTD), under much milder constraints than matrix-based techniques. However, choosing the BTD model structure (i.e., the number of blocks and their ranks) is a difficult problem, and the standard least-squares formulation can be ill-posed. This paper proposes an alternating group lasso algorithm to compute approximate low-rank BTDs. It solves, in a provably convergent manner,...
#2Amanda Franco Spirandeli (UFU: Federal University of Uberlandia)
Last. Vicente Zarzoso (CNRS: Centre national de la recherche scientifique)H-Index: 20
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Respiratory patterns are commonly measured to monitor and diagnose cardiovascular, metabolic, and sleep disorders. Electronic devices such as masks used to record respiratory waveforms usually require medical staff support and obstruct the patients' breathing, causing discomfort. New techniques are being investigated to overcome such limitations. An emerging approach involves accelerometers to estimate the respiratory waveform based on chest motion. However, most of the existing techniques emplo...
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Responsible for 25% of strokes and 1/3 of hospitalizations due to cardiac related disturbances, atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in clinical practice, considered as the last great frontier of cardiac electrophysiology. Its mechanisms are not completely understood, and a precise analysis of the atrial activity (AA) signal in electrocardiogram (ECG) recordings is necessary to better understand this challenging cardiac condition. Recently, the block term deco...
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