Event-driven ECG classification using functional approximation and Chebyshev polynomials
statement of authorship
Maryam Saeed, Olev Märtens, Benoit Larras, Antoine Frappé, Deepu John, Barry Cardiff
source
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 13-15 Oct. 2022
location of publication
Danvers
publisher
year of publication
pages
p. 595-599
conference name, date
IEEE Biomedical Circuits and Systems Conference (BioCAS), 13-15 October 2022
conference location
Taipei, Taiwan
Scopus
Scopus
keyword
level-crossing analogue-to-digital converters (ADC)
ISSN
2163-4025
ISBN
978-1-6654-6917-3
notes
Bibliogr.: 18 ref
scientific publication
teaduspublikatsioon
classifier
TTÜ department
language
inglise
Uurimisrühm
Saeed, M., Märtens, O., Larras, B., Frappé, A., John, D., Cardiff, B. Event-driven ECG classification using functional approximation and Chebyshev polynomials // 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 13-15 Oct. 2022. Danvers : IEEE, 2022. p. 595-599. https://doi.org/10.1109/BioCAS54905.2022.9948612