Cardiac Arrhythmia Prediction by Adaptive Analysis via Bluetooth
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Date
2020-12-21
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Mark
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Institute of Automation and Computer Science, Brno University of Technology
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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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Citation
Mendel. 2020 vol. 26, č. 2, s. 29-38. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/117
https://mendel-journal.org/index.php/mendel/article/view/117
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Peer-reviewed
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en
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
http://creativecommons.org/licenses/by-nc-sa/4.0
http://creativecommons.org/licenses/by-nc-sa/4.0