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

File: <base>/training/st_petersburg_incart/g1/I0051.hea (758 bytes) 
I0051 12 257 462600
I0051.mat 16x1+24 1000.0(0)/mv 16 0 -1112 -8577 0 I
I0051.mat 16x1+24 1000.0(0)/mv 16 0 6274 21660 0 II
I0051.mat 16x1+24 1000.0(0)/mv 16 0 5303 -28700 0 III
I0051.mat 16x1+24 1000.0(0)/mv 16 0 -3746 -15472 0 aVR
I0051.mat 16x1+24 1000.0(0)/mv 16 0 -3426 4973 0 aVL
I0051.mat 16x1+24 1000.0(0)/mv 16 0 5611 -14178 0 aVF
I0051.mat 16x1+24 1000.0(0)/mv 16 0 4948 -18497 0 V1
I0051.mat 16x1+24 1000.0(0)/mv 16 0 5812 -14137 0 V2
I0051.mat 16x1+24 1000.0(0)/mv 16 0 3765 -10503 0 V3
I0051.mat 16x1+24 1000.0(0)/mv 16 0 4543 583 0 V4
I0051.mat 16x1+24 1000.0(0)/mv 16 0 6925 28701 0 V5
I0051.mat 16x1+24 1000.0(0)/mv 16 0 6404 4267 0 V6
# Age: 56
# Sex: M
# Dx: 427084000,251180001,164884008,11157007
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown