Buscar
Mostrando ítems 1-10 de 47
A novel approach for QRS complex detection in patients with atrial arrhythmia
(Cartagena de Indias, 2020-11-03)
Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world which shows rising prevalence leading to increased comorbidities, such as, Ischemic heart disease and Stroke that the main cause of deaths in the ...
An Empiric Analysis of Wavelet-Based Feature Extraction on Deep Learning and Machine Learning Algorithms for Arrhythmia Classification
The aberration in human electrocardiogram (ECG) affects cardiovascular events that may lead to arrhythmias. Many automation systems for ECG classification exist, but the ambiguity to wisely employ the in-built feature ...
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 ...
Ventricular Fibrillation detection
(World Scientific, 2010)
In automatic defibrillation, early detection of the arrhythmia constitutes an essential and extremely sensitive task. Its failure means no shock delivery and, hence, no possible reversal leading to the patient’s death. ...
Robust automated cardiac arrhythmia detection in ECG beat signals
(Springer, 2018-02-01)
Nowadays, millions of people are affected by heart diseases worldwide, whereas a considerable amount of them could be aided through an electrocardiogram (ECG) trace analysis, which involves the study of arrhythmia impacts ...
Metaheuristic optimization approach for parameters estimation in arrhythmia classification from unbalanced data
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2020)
Wireless sensor networks for ambient assisted living
(National Center for Biotechnology Information, 2013-11)
This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor ...
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 ...
Implementation of a simple real-time algorithm for ventricular fibrillation detection in a microcontroller
(Springer, 2015-01)
This paper describes the implementation of an algorithm for detecting episodes of Ventricular Fibrillation (VF) in a MSP430F6659 microcontroller. Statistical and digital signal processing techniques were used in its design. ...