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Atrial fibrillation (AF) is the most common arrhythmia and it occurs in strict correlation with the patients' age. AF is a known risk factor of ischemic stroke (ISC), which is considered as one of the major causes of death and disability and pays the essential contribution to health system costs. The paper presents the idea and practical implementation of a long-term non-invasive instrumentation for...
Project is currently carried out to gather reliable data on prevalence of silent atrial fibrillation (AF) in elderly patients. The first phase of the project was focused on inventing the diagnostic instrumentation in a form of wristband monitor, capable of detecting silent AF. The monitor developed at the Institute of Medical Technology and Equipment (ITAM) in Zabrze applies the photoplethysmographic...
Atrial fibrillation (AF) is one of the most common cardiac arrhythmia and effects nearly 1–2 of every 100 persons of the population. This paper evaluates the effectiveness of Machine Learning (ML) approach to detect AF episodes. Features, determined exclusively on the basis of beat intervals, are classified with linear classifier. Performances of the proposed approach are evaluated by means of the...
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