Cardiac Arrhythmia Prediction by Adaptive Analysis via Bluetooth

  • Ricardo Rodrguez-Jorge Jan Evangelista Purkyne University
  • Jiri Bila Department of Instrumentation and Control Engineering, Czech Technical University in Prague, Czech Republic
Keywords: Dynamic quadratic neural unit, recurrent learning, adaptive monitoring, biomedical data acquisition, cardiac arrhythmia, prediction

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

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Published
2020-12-21
How to Cite
[1]
Rodrguez-JorgeR. and BilaJ. 2020. Cardiac Arrhythmia Prediction by Adaptive Analysis via Bluetooth. MENDEL. 26, 2 (Dec. 2020), 29-38. DOI:https://doi.org/10.13164/mendel.2020.2.029.
Section
Articles