  We present our entry to the 2021 PhysioNet/CinC challenge - a waveform
transformer model to detect cardiac abnormalities from ECG recordings. We
compare the performance of the waveform transformer model on different ECG-lead
subsets using approximately 88,000 ECG recordings from six datasets. In the
official rankings, team prna ranked between 9 and 15 on 12, 6, 4, 3 and 2-lead
sets respectively. Our waveform transformer model achieved an average challenge
metric of 0.47 on the held-out test set across all ECG-lead subsets. Our
combined performance across all leads placed us at rank 11 out of 39 officially
ranking teams.
