ELC-ECG: efficient LSTM cell for ECG classification based on quantized architecture

statement of authorship
Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
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
kvartiil
Q3
category (general)
keyword
electrocardiogram signal classification
ISSN
2158-1525
ISBN
978-1-7281-9201-7
notes
Bibliogr.: 37 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
language
inglise
Mirsalari, S.A., Nazari, N., Ansarmohammadi, S.A., Sinaei, S., Salehi, M.E., Daneshtalab, M. ELC-ECG: efficient LSTM cell for ECG classification based on quantized architecture // 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings. Danvers : IEEE, 2021. 5 p. https://doi.org/10.1109/ISCAS51556.2021.9401261