Event-driven ECG classification using an open-source, LC-ADC based non-uniformly sampled dataset
author
statement of authorship
Maryam Saeed, Qingyuan Wang, Olev Märtens, Benoit Larras, Antoine Frappé, Barry Cardiff, Deepu John
location of publication
Danvers
publisher
year of publication
pages
5 p
conference name, date
IEEE International Symposium on Circuits and Systems (ISCAS) : “Smart Technology for an Intelligent Society”, May 22-28, 2021
conference location
Daegu, South Korea
ISSN
2158-1525
ISBN
978-1-7281-9201-7
notes
Bibliogr.: 15 ref
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
LC-ADC
level-crossing analog-to-digital converters
event-driven data
WOS
kvartiil
classifier
category (general)
category (sub)
Reserch Group
Saeed, M., Wang, Q., Märtens, O., Larras, B., Frappé, A., Cardiff, B., John, D. Event-driven ECG classification using an open-source, LC-ADC based non-uniformly sampled dataset // 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings. Danvers : IEEE, 2021. 5 p.