Cardiac Arrhythmia Prediction by Adaptive Analysis via Bluetooth

Abstract

In this work, the development of a data acquisition system for adaptive monitoring based on a dynamic quadratic neural unit is presented. Acquisition of the continuous signal is achieved with the BITalino biomedical data acquisition card. The system is trained sample-by-sample with a real time recurrent learning method. Then, possible cardiac arrhythmia is predicted by implementing the adaptive monitoring in real time to recognize patterns that predict cardiac arrhythmia up to 1 second in advance. For the evaluation of the interface, tests are performed using the obtained signal in real time

Keywords

• Dynamic quadratic neural unit
• recurrent learning
• adaptive monitoring
• biomedical data acquisition
• cardiac arrhythmia
• prediction