ELC-ECG: efficient LSTM cell for ECG classification based on quantized architecture
author
Mirsalari, Seyed Ahmad
Nazari, Najmeh
Ansarmohammadi, Seyed Ali
Sinaei, Sima
Salehi, Mostafa E.
Daneshtalab, Masoud
statement of authorship
Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
source
2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings
location of publication
Danvers
publisher
IEEE
year of publication
2021
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
url
https://doi.org/10.1109/ISCAS51556.2021.9401261
subject term
elektroentsefalograafia
manussüsteemid
kantavad seadmed
elektrokardiogramm
Scopus
https://www.scopus.com/sourceid/56190
https://www.scopus.com/record/display.uri?eid=2-s2.0-85108992062&origin=inward&txGid=1c2c56223e08d1bc212c6fccdc68171b
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000696765400207
quartile
Q3
category (general)
Engineering
Tehnika
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
keyword
long short-term memory (LSTM)
wearable devices
electrocardiogram signal classification
ISSN
2158-1525
ISBN
978-1-7281-9201-7
notes
Bibliogr.: 37 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise
Reserch Group
Centre of dependable computing systems