%0 Conference Paper %1 mahmud2019ecgdeepnet %A Mahmud, Tanvir %A Hossain, Abdul Rakib %A Fattah, Shaikh Anowarul %B RiTA %D 2019 %I IEEE %K arrhythmia classification convnet deep ecg learning %P 32-37 %T ECGDeepNET: A Deep Learning approach for classifying ECG beats. %U http://dblp.uni-trier.de/db/conf/rita/rita2019.html#MahmudHF19 %@ 978-1-7281-3118-4

@inproceedings{mahmud2019ecgdeepnet, added-at = {2020-04-23T15:42:14.000+0200}, author = {Mahmud, Tanvir and Hossain, Abdul Rakib and Fattah, Shaikh Anowarul}, biburl = {https://www.bibsonomy.org/bibtex/24b952f50c924266de06804ae0d14592b/nosebrain}, booktitle = {RiTA}, crossref = {conf/rita/2019}, ee = {https://doi.org/10.1109/RITAPP.2019.8932850}, interhash = {ecc718e22c0d75fc10ae96de875c6cfb}, intrahash = {4b952f50c924266de06804ae0d14592b}, isbn = {978-1-7281-3118-4}, keywords = {arrhythmia classification convnet deep ecg learning}, pages = {32-37}, publisher = {IEEE}, timestamp = {2020-04-23T15:43:51.000+0200}, title = {ECGDeepNET: A Deep Learning approach for classifying ECG beats.}, url = {http://dblp.uni-trier.de/db/conf/rita/rita2019.html#MahmudHF19}, year = 2019 }