print

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
Conference Proceedings at Scopus
Article at Scopus
WOS
Article at WOS
kvartiil
Q3
category (general)
Engineering
category (sub)
Engineering. Electrical and electronic engineering
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
TTÜ department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Uurimisrühm
Measurement electronics research group
Duforest, J., Larras, B., Frappe, A., Deepu, C.J., Märtens, O. Antidictionary-based cardiac arrhythmia classification for smart ECG sensors // 2022 IEEE International Symposium on Circuits and Systems (ISCAS) : proceedings. Danvers : IEEE, 2022. p. 414-418 : ill. https://doi.org/10.1109/ISCAS48785.2022.9937853