Antidictionary-based cardiac arrhythmia classification for smart ECG sensors
author
Duforest, Julien
Larras, Benoit
Frappe, Antoine
Deepu, John Deepu
Märtens, Olev
statement of authorship
Julien Duforest, Benoît Larras, Antoine Frappé, Chacko John Deepu, Olev Märtens
source
2022 IEEE International Symposium on Circuits and Systems (ISCAS) : proceedings
location of publication
Danvers
publisher
IEEE
year of publication
2022
pages
p. 414-418 : ill
conference name, date
2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May 2022 - 01 June 2022
conference location
Austin, Texas, USA
url
https://doi.org/10.1109/ISCAS48785.2022.9937853
subject term
arütmiad
elektrokardiogramm
südame-veresoonkonna haigused
Scopus
https://www.scopus.com/sourceid/56190
https://www.scopus.com/record/display.uri?eid=2-s2.0-85142494141&origin=inward&txGid=8a89c4f339ede97f7049137ce9d90d9d
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000946638600088
quartile
Q3
category (general)
Engineering
Tehnika
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
keyword
cardiac arrhythmia classification (CAC)
electrocardiogram (ECG)
event-driven
antidictionary
ISSN
0271-4310
ISBN
978-166548485-5
notes
Bibliogr.: 8 ref
Open Access
Open Access (roheline)
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Reserch Group
Measurement electronics research group