Cardiac arrhythmia prediction by adaptive analysis via bluetooth

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F20%3A43896042" target="_blank" >RIV/44555601:13440/20:43896042 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21220/20:00345351
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098285818&doi=10.13164%2fmendel.2020.2.029&partnerID=40&md5=d259a70880478e788f2bc2d7d60e83a2" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098285818&doi=10.13164%2fmendel.2020.2.029&partnerID=40&md5=d259a70880478e788f2bc2d7d60e83a2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/mendel.2020.2.029" target="_blank" >10.13164/mendel.2020.2.029</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Cardiac arrhythmia prediction by adaptive analysis via bluetooth
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Cardiac arrhythmia prediction by adaptive analysis via bluetooth
Popis výsledku anglicky
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.

Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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