Abstract

The temporal identification of QRS complex in an electrocardiographic signal (EKG signal) is a task with extended research and many practical applications. This work presents the improvements done to an algorithm for detecting QRS complex of an EKG signal known as Holsinger algorithm. For this effect, characteristics present in a complex QRS detector known as Hamilton-Tompkins algorithm are used. Each progressive improvement done to the Holsinger algorithm is detailed showing its QRS complex temporal identification performance over electrocardiographic signal records (EKG signals) from a public database (arrhythmia MIT database – MIT BIH), with the objective of showing in practice that it is possible to get a better performance, preserving simplicity, with a simple QRS detection algorithm including classical digital signal processing (DSP) characteristics.