Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/st_petersburg_incart/g1/I0063.hea (732 bytes) 
I0063 12 257 462600
I0063.mat 16x1+24 1000.0(0)/mv 16 0 350 -6134 0 I
I0063.mat 16x1+24 1000.0(0)/mv 16 0 1302 22677 0 II
I0063.mat 16x1+24 1000.0(0)/mv 16 0 922 29673 0 III
I0063.mat 16x1+24 1000.0(0)/mv 16 0 -870 29907 0 aVR
I0063.mat 16x1+24 1000.0(0)/mv 16 0 -148 12217 0 aVL
I0063.mat 16x1+24 1000.0(0)/mv 16 0 1138 23396 0 aVF
I0063.mat 16x1+24 1000.0(0)/mv 16 0 628 16860 0 V1
I0063.mat 16x1+24 1000.0(0)/mv 16 0 1819 23901 0 V2
I0063.mat 16x1+24 1000.0(0)/mv 16 0 2115 -5845 0 V3
I0063.mat 16x1+24 1000.0(0)/mv 16 0 1339 29301 0 V4
I0063.mat 16x1+24 1000.0(0)/mv 16 0 -255 -26901 0 V5
I0063.mat 16x1+24 1000.0(0)/mv 16 0 -368 -18730 0 V6
# Age: 58
# Sex: M
# Dx: 57054005,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown