Event-driven ECG classification using functional approximation and Chebyshev polynomials
author
Saeed, Maryam
Märtens, Olev
Larras, Benoit
Frappe, Antoine
John, Deepu
Cardiff, Barry
statement of authorship
Maryam Saeed, Olev Märtens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff
source
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 13-15 Oct. 2022
location of publication
Danvers
publisher
IEEE
year of publication
2022
pages
p. 595-599
conference name, date
IEEE Biomedical Circuits and Systems Conference (BioCAS), 13-15 October 2022
conference location
Taipei, Taiwan
url
https://doi.org/10.1109/BioCAS54905.2022.9948612
subject term
analoog-digitaal muundurid
mõõtemuundurid
kardiograafia
tehisnärvivõrgud
arütmiad
Scopus
Scopus
keyword
level-crossing analogue-to-digital converters (ADC)
event-driven
electrocardiograms
functional approximation
Chebyshev polynomials
artificial neural networks (ANN)
arrhythmia
ISSN
2163-4025
ISBN
978-1-6654-6917-3
notes
Bibliogr.: 18 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Reserch Group
Measurement electronics research group