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

author
statement of authorship
Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
source
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
url
ISSN
2158-1525
ISBN
978-1-7281-9201-7
notes
Bibliogr.: 37 ref
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
Reserch Group
Centre of dependable computing systems
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