Publications

Drowsiness detection is important since its strong relation with traffic accident. A study for drowsiness level detection using Artificial Neural Network (ANN) method has been conducted. It utilizes electrocardigraphic RR interval statistical features and Radial Basis Function Artificial Neural Network or RBF Network as classifier. Drowsiness levels are defined by Karonlinska Sleep Scale (KSS) which … Read more

Drowsiness is one of the main cause of road accidents. Recently, drowsiness detection of driver based on biosignal like electrocardiogram is being studied. Alterations during drowsiness, fatigue, and stress of the driver can be obtained from heart rate variability (HRV). HRV is derived from interval of RR in electrocardiogram. In this article, we present drowsiness … Read more

Disease of the heart is one of the death main cause in the world. Special attention to prevent more deaths from the heart disease is needed; one of them is early diagnose for heart disease with electrocardiogram (ECG). ECG represent electrical activity of the heart. The heart’s electrical activity can be recorded using some electrodes … Read more