Inproceedings,
ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning.
G. Rosa, M. Russodivito, G. Laudato, A. Colavita, L. Vito, F. Picariello, S. Scalabrino, I. Tudosa, and R. Oliveto.BIOSTEC (Selected Papers), volume 1814 of Communications in Computer and Information Science, page 237-255. Springer, (2022)
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- BibTeX key
- conf/biostec/RosaRLCVPSTO22
- entry type
- inproceedings
- booktitle
- BIOSTEC (Selected Papers)
- year
- 2022
- pages
- 237-255
- publisher
- Springer
- series
- Communications in Computer and Information Science
- volume
- 1814
- crossref
- conf/biostec/2022ccis
- ee
- https://doi.org/10.1007/978-3-031-38854-5_13
- isbn
- 978-3-031-38854-5
- url
- http://dblp.uni-trier.de/db/conf/biostec/biostec2022ccis.html#RosaRLCVPSTO22
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%1 conf/biostec/RosaRLCVPSTO22
%A Rosa, Giovanni
%A Russodivito, Marco
%A Laudato, Gennaro
%A Colavita, Angela Rita
%A Vito, Luca De
%A Picariello, Francesco
%A Scalabrino, Simone
%A Tudosa, Ioan
%A Oliveto, Rocco
%B BIOSTEC (Selected Papers)
%D 2022
%E Roque, Ana Cecília
%E Gracanin, Denis
%E Lorenz, Ronny
%E Tsanas, Athanasios
%E Bier, Nathalie
%E Fred, Ana
%E Gamboa, Hugo
%I Springer
%K dblp
%P 237-255
%T ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning.
%U http://dblp.uni-trier.de/db/conf/biostec/biostec2022ccis.html#RosaRLCVPSTO22
%V 1814
%@ 978-3-031-38854-5
@inproceedings{conf/biostec/RosaRLCVPSTO22,
added-at = {2024-10-06T00:00:00.000+0200},
author = {Rosa, Giovanni and Russodivito, Marco and Laudato, Gennaro and Colavita, Angela Rita and Vito, Luca De and Picariello, Francesco and Scalabrino, Simone and Tudosa, Ioan and Oliveto, Rocco},
biburl = {https://www.bibsonomy.org/bibtex/2fb72b49343ba42c0e1bf2c39e033c123/dblp},
booktitle = {BIOSTEC (Selected Papers)},
crossref = {conf/biostec/2022ccis},
editor = {Roque, Ana Cecília and Gracanin, Denis and Lorenz, Ronny and Tsanas, Athanasios and Bier, Nathalie and Fred, Ana and Gamboa, Hugo},
ee = {https://doi.org/10.1007/978-3-031-38854-5_13},
interhash = {71384a9396230bcc40a9fb05610b1ca2},
intrahash = {fb72b49343ba42c0e1bf2c39e033c123},
isbn = {978-3-031-38854-5},
keywords = {dblp},
pages = {237-255},
publisher = {Springer},
series = {Communications in Computer and Information Science},
timestamp = {2024-10-07T09:21:48.000+0200},
title = {ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning.},
url = {http://dblp.uni-trier.de/db/conf/biostec/biostec2022ccis.html#RosaRLCVPSTO22},
volume = 1814,
year = 2022
}