Buscar
Mostrando ítems 1-10 de 81
Estimation of PQ distance dispersion for atrial fibrillation detection
(Elsevier, 2021)
Background and objective: Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world. It is associated with significantly increased morbidity and mortality. Diagnosis of the disease can be based on the ...
Application of spatio-temporal filtering for atrial activity waveforms enhancement
(Association for Computing Machinery, 2019)
In this paper, we propose to apply spatio-temporal filtering to atrial activity enhancement, prior to the detection of possible atrial arrhythmias. During normal sinus rhythm, the atrial activity is well synchronized with ...
Spatio-Temporal Filtering for Evoked Potentials Detection
(Springer, 2020)
We propose the new application of the spatio-temporal filtering (STF) method, which is a detection of visual evoked potentials applied to brain-computer interfaces (BCI). STF aims in creating a new, enhanced channel basing ...
Modified Spatio-Temporal Matched Filtering for Brain Responses Classification
(Cartagena de Indias, 2022-08)
In this article, we apply the method of spatio-temporal filtering (STF) to electroencephalographic (EEG) data processing for brain responses classification. The method operates similarly to linear discriminant analysis ...
Spatio-Temporal Filtering for Automatic Detection of Atrial Arrhythmias
(25/07/2021)
Atrial fibrillation is the most common arrhythmia in the world affecting up to 2% of the world population. Atrial fibrillation and atrial flutter increase the risk of serious diseases such as, heart failure, renal disease ...
Spatio Temporal Filtering of Multi-lead ECG Signals for Atrial Arrhythmia Classification
(Cartagena de Indias, 2021-10)
Atrial fibrillation (AF) is the most common cardiac arrhythmia and increases the risk of suffering stroke. Some people with AF do not have symptoms, so, its diagnosis can be difficult, especially in early stages of the ...
Spatio-temporal patterns of the international merger and acquisition network
This paper analyses the world web of mergers and acquisitions (M&As) using a complex network
approach. We use data of M&As to build a temporal sequence of binary and weighted-directed networks
for the period 1995–2010 ...
Analyzing Spatio-temporal Land Cover Dynamics in an Atlantic Forest Portion Using Unsupervised Change Detection Techniques
(2021-01-01)
Over the past decades, the Southeast Atlantic Forest in Paraíba do Sul River Valley has suffered intense deforestation and human disturbances. Due to the Atlantic Forest biodiversity and the economic relevance of such a ...