Placing first the PhysioNet/CinC Challenge 2017 was “Black Swan,” an international team of researchers led by Morteza Zabihi, a biomedical engineering postgraduate at Tampere University of Technology, and Ali Bahrami Rad, a postdoctoral...
The PhysioNet/Computing in Cardiology (CinC) Challenge 2017 focused on differentiating AF from noise, normal or other rhythms in short term (from 9-61 s) ECG recordings performed by patients. A total of 12,186 ECGs were used: 8,528 in the public training set and 3,658 in the private ...