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This article introduces a new method for detection of atrial fibrillation (AFib) using a support vector machine (SVM). AFib could lead to heart failure and stroke and thus an AFib early detection is very important. In this article, an SVM and variabilities of electrocardiographic heart rate are employed to detect AFib. Radial basis functions (RBF) is utilized for SVM. Different SVM constructions are...
Hypoglycemia is the most acute and common complication of Type 1 diabetes and is a limiting factor in a glycemic management of diabetes. In this paper, two main contributions are presented; firstly, ventricular repolarization variabilities are introduced for hypoglycemia detection, and secondly, a swarm-based support vector machine (SVM) algorithm with the inputs of the repolarization variabilities...
Electrocardiographic T wave peak-to-end interval (TpTe) is one parameter of T wave morphology, which contains indicators for hypoglycaemia. This paper shows the corrected TpTe (TpTec) interval as one of the inputs contributing to detect hypoglycaemia. Support vector machine (SVM) and fuzzy support vector machine (FSVM) utilizing radial basis function (RBF) are used as the classification methods in...
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