Arrhythmia Classification in Multi-Channel ECG Signals Using Deep Neural Networks

Kyungna Kim

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2018-80
May 19, 2018

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-80.pdf

Advisor: Stuart J. Russell

BibTeX citation:

@mastersthesis{Kim:EECS-2018-80,
    Author = {Kim, Kyungna},
    Title = {Arrhythmia Classification in Multi-Channel ECG Signals Using Deep Neural Networks},
    School = {EECS Department, University of California, Berkeley},
    Year = {2018},
    Month = {May},
    URL = {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-80.html},
    Number = {UCB/EECS-2018-80}
}

EndNote citation:

%0 Thesis
%A Kim, Kyungna
%T Arrhythmia Classification in Multi-Channel ECG Signals Using Deep Neural Networks
%I EECS Department, University of California, Berkeley
%D 2018
%8 May 19
%@ UCB/EECS-2018-80
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2018/EECS-2018-80.html
%F Kim:EECS-2018-80