Automatic QRS-complex peak detector based on moving average and thresholding

In this article, we present QRS-complex peak detection using moving average and thresholding process. In the QRS-complex detection, electrocardiogram (ECG) signal is detrended to remove the baseline shift of the signal. Detrended ECG signal is passed through band pass filter that consist of low pass and high pass filter to remove various noises that present … Read more

Atrial fibrillation detection using RR-interval irregularity supported by particle swarm optimization

Atrial Fibrillation (AF) is the most common arrhythmia. AF has increased peoples health and financial burdens. Patients with AF should be stratified according to a predictive stroke-risk score. According to the complication, risk factor and data of epidemiology, AF is always interesting to be multidisciplinary research topic, one of which is the developing algorithms for … Read more

Detecting atrial fibrillation using statistical features of electrocardiographic interbeat interval

This article presents a technique for detecting atrial fibrillation (AF). The technique employs electrocardiographic interbeat interval (IBI) alteration. The IBI is the time interval between individual beats of electrocardiogram. Two statistical, mean and standard deviation of IBI are examined. For the classification a support vector machine (SVM) with RBF function is applied. We have examined … Read more