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This article introduces a new strategy to detect a ventricular premature beat (VPB). The strategy utilized a swarm fuzzy inference system (SFIS) and features of the R wave of electrocardiogram. SFIS was a FIS optimized using particle swarm optimization (PSO). The PSO was used to find the optimal parameters of the FIS. The fuzzification part … Read more

Severe hypoglycemia is potentially life-threatening. This article introduces a novel hypoglycemia detection strategy using a hybrid particle swarm – based fuzzy support vector machine (SFisSvm) technique. The inputs of this system are six electrocardiographic (ECG) parameters. The system parameters of SFisSvm are optimized using a particle swarm optimization method. The proposed hypoglycemia detector system is … Read more

Cardiac arrhythmia relating to hypoglycemia is suggested as a cause of death in diabetic patients. This article introduces electrocardiographic (ECG) parameters for artificially induced hypoglycemia detection. In addition, a hybrid technique of swarm-based support vector machine (SVM) is introduced for hypoglycemia detection using the ECG parameters as inputs. In this technique, a particle swarm optimization … Read more