Evaluation of level-crossing ADCs for event-driven ECG classification
author
Saeed, Maryam
Wang, Qingyuan
Märtens, Olev
statement of authorship
Maryam Saeed, Qingyuan Wang, Olev Martens, Benoit Larras, Antoine Frappe, Barry Cardiff, John Deepu
source
IEEE Transactions on Biomedical Circuits and Systems
publisher
IEEE
journal volume number month
vol. 15, 6
year of publication
2021
pages
p. 1129-1139
url
https://doi.org/10.1109/TBCAS.2021.3136206
subject term
südame rütmihäired
sensorid
muundurid
keyword
level-crossing ADC
cardiac arrhythmia classification
convolutional neural networks
wearable sensors
eventdriven data
ISSN
1932-4545
notes
Bibliogr.: 26 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/5700191219
https://www.scopus.com/record/display.uri?eid=2-s2.0-85121812651&origin=inward&txGid=769428c54979203e5da49da4e5204b4b
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20T%20BIOMED%20CIRC%20S&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000757856200006
category (general)
Engineering
Tehnika
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Engineering. Biomedical engineering
Tehnika. Biomeditsiinitehnika
quartile
Q1
TalTech department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Reserch Group
Measurement electronics research group