[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

[Bsingstad]

Original article: N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek, ‘Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL’, IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 5, pp. 1519–1528, May 2021, doi: 10.1109/JBHI.2020.3022989

PDF URL: https://github.com/Bsingstad/Strodthoff-2021/blob/master/paper/manuscript.pdf
Metadata URL: https://github.com/Bsingstad/Strodthoff-2021/blob/master/paper/source%20files/metadata.tex
Code URL: https://github.com/Bsingstad/Strodthoff-2021/

Scientific domain: Time series classification
Programming language: Python
Suggested editor: @ThomasA

[rougier]

Thanks for your submission, we'll assign an editor soon.
@ThomasA Can you handle this submission?

[Bsingstad]

@rougier, maybe this submission needs another editor?

[rougier]

Definitely yes. Sorry for the delay.

[rougier]

@ReScience/editors Can any of you handle this submission?

[Bsingstad]

@ReScience/editors Can any of you handle this submission?

@rougier , any news here?

[rougier]

Sorry for the very long delay.
@ThomasA @gdetor @benoit-girard @oliviaguest: can you handle this submission?

[gdetor]

@rougier I can handle it.

[rougier]

@Bsingstad sorry very very long delay, the year has been a bit chaotic.
@gdetor Great, many thanks. There are plenty of reviewers for deep learning in the board, don't hesitate to ask them at once.

[gdetor]

Dear reviewers @ReScience/reviewers Would anybody be interested in reviewing this work?

[Bsingstad]

Any news here, @gdetor ?