Adaptive Analysis of Electrocardiogram Prediction Using a Dynamic Cubic Neural Unit

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00361221" target="_blank" >RIV/68407700:21220/22:00361221 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-99619-2_41" target="_blank" >https://doi.org/10.1007/978-3-030-99619-2_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-99619-2_41" target="_blank" >10.1007/978-3-030-99619-2_41</a>

Result language
angličtina
Original language name
Adaptive Analysis of Electrocardiogram Prediction Using a Dynamic Cubic Neural Unit
Original language description
n this work, the implementation of a dynamic cubic neural unit for the prediction of heartbeats using a wireless method is presented. The data were recorded with the BITalino biomedical acquisition card using its ECG input and output module via Bluetooth. This paper aims to predict a prediction horizon according to the learning rate, the number of samples used to train the model, and the specified times required for training. The signal (input) was acquired from electrodes, which were placed on the surface of the chest near the heart. The signal was visualized and presented through a graphical interface. For the interface evaluation, tests are performed using the obtained signal in real time.
Czech name
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Czech description
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Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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