Detection of the QRS Complexity in Real Time with Bluetooth Communication

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F21%3A43896041" target="_blank" >RIV/44555601:13440/21:43896041 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.researchgate.net/publication/343796755_Detection_of_the_QRS_Complexity_in_Real_Time_with_Bluetooth_Communication" target="_blank" >https://www.researchgate.net/publication/343796755_Detection_of_the_QRS_Complexity_in_Real_Time_with_Bluetooth_Communication</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-61105-7_43" target="_blank" >10.1007/978-3-030-61105-7_43</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Detection of the QRS Complexity in Real Time with Bluetooth Communication
Popis výsledku v původním jazyce
This paper presents the development of a data acquisition system for the detection of the QRS complexity in an electrocardiogram. The acquisition of the continuous signal has been made with the BITalino biomedical data acquisition card. The signal processing and the graphical user interface has been done on Python programming. Within the interface, the detection of the QRS complex has been performed by implementing the Hilbert transform and the adaptive threshold technique. For the evaluation of the interface, tests have been performed using the obtained signal in real time.
Název v anglickém jazyce
Detection of the QRS Complexity in Real Time with Bluetooth Communication
Popis výsledku anglicky
This paper presents the development of a data acquisition system for the detection of the QRS complexity in an electrocardiogram. The acquisition of the continuous signal has been made with the BITalino biomedical data acquisition card. The signal processing and the graphical user interface has been done on Python programming. Within the interface, the detection of the QRS complex has been performed by implementing the Hilbert transform and the adaptive threshold technique. For the evaluation of the interface, tests have been performed using the obtained signal in real time.

Druh
D - Stať ve sborníku
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
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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