Abstract
Scientific objectives Diabetes is considered as a risk factor for atrial fibrillation and patients with a co morbidity of diabetes and atrial fibrillation have an increased risk of cardio-vascular complications like stroke. However, paroxysmal atrial fibrillation often is not recognized and therefore stroke is a frequent and severe complication of diabetes and atrial fibrillation. The objective of the study is a screening of patients with diabetes mellitus type 2 for atrial fibrillation and as a consequence an individually adjusted risk management regarding glucoses levels, anticoagulation and blood pressure.
Highlights
Scientific objectives Diabetes is considered as a risk factor for atrial fibrillation and patients with a co morbidity of diabetes and atrial fibrillation have an increased risk of cardio-vascular complications like stroke
Technical approaches To detect atrial fibrillation ECGs of diabetes patients will be evaluated by an automated AF episode detection algorithm that already has proven superiority in the detection of atrial fibrillation
To detect episodes of AF, the software performs a time series analysis of multiple mathematical parameters that are typical for an absolute arrhythmia during AF
Summary
Scientific objectives Diabetes is considered as a risk factor for atrial fibrillation and patients with a co morbidity of diabetes and atrial fibrillation have an increased risk of cardio-vascular complications like stroke. Technical approaches To detect atrial fibrillation ECGs of diabetes patients will be evaluated by an automated AF episode detection algorithm that already has proven superiority in the detection of atrial fibrillation.
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