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Clasification Of Arrhythmic ECG Data Using Machine Learning Techniques
In this paper we proposed a automated Artificial Neural Network (ANN) based classification system for cardiac arrhythmia using multi-channel ECG recordings. In this study, we are mainly interested in producing high confident ...
Arrhythmias and COVID-19: A review
Current understanding of the impact of COVID-19 on arrhythmias continues to evolve as new
data emerges. Cardiac arrhythmias are more common in critically ill COVID-19 patients. The
potential mechanisms that could result ...
Incidence and impact of cardiac arrhythmias in coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis
Background: Studies have shown that cardiac arrhythmias may occur in up to 44% of patients with severe
coronavirus disease 2019 (COVID-19) and has been associated with an increased risk of death. This
systematic review ...
Obstructive sleep apnoea / hypopnoea syndrome and its relationship with cardiac arrhythmias. A narrative review of the literature
Obstructive sleep apnoea / hypopnoea syndrome is a disease of multisystemic involvement, with particular repercussions on the cardiovascular system, and thus a high impact on morbidity and mortality. Several pathophysiological ...
Evidence that the degree of obstructive sleep apnea may not increase myocardial ischemia and arrhythmias in patients with stable coronary artery disease
(Faculdade de Medicina / USP, 2009)
There is controversy regarding whether obstructive sleep apnea is responsible for triggering myocardial ischemia, arrhythmias and heart rate variability in patients with coronary artery disease. OBJETIVE: The objective of ...
Global REACH: assessment of brady-arrhythmias in andeans and lowlanders during apnea at 4330 m
(Frontiers Media, 2019)
Background: Ascent to altitude increases the prevalence of arrhythmogenesis in low-altitude dwelling populations (Lowlanders). High altitude populations (i.e., Nepalese Sherpa) may have arrhythmias resistant adaptations ...
Classification of cardiac arrhythmia by random forests with features constructed by kaizen programming with linear genetic programming
(Wiley, 2016)
Cardiac rhythm disorders may cause severe heart diseases, stroke, and even sudden cardiac death. Some arrhythmias are so serious that can cause injury to other organs, for instance, brain, kidneys, lungs or liver. Therefore, ...