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

File: <base>/training/st_petersburg_incart/g1/I0006.hea (747 bytes) 
I0006 12 257 462600
I0006.mat 16x1+24 1000.0(0)/mv 16 0 1138 25954 0 I
I0006.mat 16x1+24 1000.0(0)/mv 16 0 4513 11704 0 II
I0006.mat 16x1+24 1000.0(0)/mv 16 0 3917 -28286 0 III
I0006.mat 16x1+24 1000.0(0)/mv 16 0 -3650 -9340 0 aVR
I0006.mat 16x1+24 1000.0(0)/mv 16 0 -2017 21072 0 aVL
I0006.mat 16x1+24 1000.0(0)/mv 16 0 3008 -6226 0 aVF
I0006.mat 16x1+24 1000.0(0)/mv 16 0 292 6020 0 V1
I0006.mat 16x1+24 1000.0(0)/mv 16 0 2354 31031 0 V2
I0006.mat 16x1+24 1000.0(0)/mv 16 0 1788 -15459 0 V3
I0006.mat 16x1+24 1000.0(0)/mv 16 0 2129 -3769 0 V4
I0006.mat 16x1+24 1000.0(0)/mv 16 0 1896 19633 0 V5
I0006.mat 16x1+24 1000.0(0)/mv 16 0 1421 -16440 0 V6
# Age: 80
# Sex: M
# Dx: 266257000,164884008,164930006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown