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

File: <base>/training/ptb/g1/S0012.hea (704 bytes) 
S0012 12 1000 115200
S0012.mat 16x1+24 1000.0(0)/mv 16 0 410 -12709 0 I
S0012.mat 16x1+24 1000.0(0)/mv 16 0 120 5382 0 II
S0012.mat 16x1+24 1000.0(0)/mv 16 0 -290 13126 0 III
S0012.mat 16x1+24 1000.0(0)/mv 16 0 -265 -20243 0 aVR
S0012.mat 16x1+24 1000.0(0)/mv 16 0 350 14847 0 aVL
S0012.mat 16x1+24 1000.0(0)/mv 16 0 -85 1078 0 aVF
S0012.mat 16x1+24 1000.0(0)/mv 16 0 178 9516 0 V1
S0012.mat 16x1+24 1000.0(0)/mv 16 0 171 -28567 0 V2
S0012.mat 16x1+24 1000.0(0)/mv 16 0 349 27437 0 V3
S0012.mat 16x1+24 1000.0(0)/mv 16 0 278 8031 0 V4
S0012.mat 16x1+24 1000.0(0)/mv 16 0 171 -11311 0 V5
S0012.mat 16x1+24 1000.0(0)/mv 16 0 75 -10586 0 V6
# Age: 74
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown