Adaptive Analysis of Electrocardiogram Prediction Using a Dynamic Cubic Neural Unit

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Analysis of Electrocardiogram Prediction Using a Dynamic Cubic Neural Unit

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Adaptive Analysis of Electrocardiogram Prediction Using a Dynamic Cubic Neural Unit

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

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

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Lecture Notes in Networks and Systems

ISSN

2367-3370

e-ISSN

—

Svazek periodika

451 LNNS

Číslo periodika v rámci svazku

April

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

10

Strana od-do

431-440

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85128744657