Cardiac Arrhythmia Prediction by Adaptive Analysis via Bluetooth

• Main Authors: Ricardo Rodrguez-Jorge, Jiri Bila
• Format: Article
• Language: English
• Published: Brno University of Technology 2020-12-01
• Series: Mendel
• Subjects: Dynamic quadratic neural unit; recurrent learning; adaptive monitoring; biomedical data acquisition; cardiac arrhythmia; prediction
• Online Access: https://mendel-journal.org/index.php/mendel/article/view/117

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