Detection of the QRS Complexity in Real Time with Bluetooth Communication

This paper presents the development of a data acquisition system for the detection of the QRS complexity in an electrocardiogram. The acquisition of the continuous signal has been made with the BITalino biomedical data acquisition card. The signal processing and the graphical user interface has been done on Python programming. Within the interface, the detection of the QRS complex has been performed by implementing the Hilbert transform and the adaptive threshold technique. For the evaluation of the interface, tests have been performed using the obtained signal in real time.