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

File: <base>/training/st_petersburg_incart/g1/I0052.hea (740 bytes) 
I0052 12 257 462600
I0052.mat 16x1+24 1000.0(0)/mv 16 0 263 -30411 0 I
I0052.mat 16x1+24 1000.0(0)/mv 16 0 -569 9091 0 II
I0052.mat 16x1+24 1000.0(0)/mv 16 0 -810 25626 0 III
I0052.mat 16x1+24 1000.0(0)/mv 16 0 160 -29185 0 aVR
I0052.mat 16x1+24 1000.0(0)/mv 16 0 524 -1462 0 aVL
I0052.mat 16x1+24 1000.0(0)/mv 16 0 -692 15521 0 aVF
I0052.mat 16x1+24 1000.0(0)/mv 16 0 157 -11345 0 V1
I0052.mat 16x1+24 1000.0(0)/mv 16 0 507 -12560 0 V2
I0052.mat 16x1+24 1000.0(0)/mv 16 0 -8 -9334 0 V3
I0052.mat 16x1+24 1000.0(0)/mv 16 0 -509 -25214 0 V4
I0052.mat 16x1+24 1000.0(0)/mv 16 0 -989 -8578 0 V5
I0052.mat 16x1+24 1000.0(0)/mv 16 0 -391 -3340 0 V6
# Age: 56
# Sex: M
# Dx: 11157007,426627000,164884008
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown