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

File: <base>/training/ptb/g1/S0007.hea (706 bytes) 
S0007 12 1000 115200
S0007.mat 16x1+24 1000.0(0)/mv 16 0 -619 15356 0 I
S0007.mat 16x1+24 1000.0(0)/mv 16 0 -124 -24439 0 II
S0007.mat 16x1+24 1000.0(0)/mv 16 0 496 25131 0 III
S0007.mat 16x1+24 1000.0(0)/mv 16 0 372 -1773 0 aVR
S0007.mat 16x1+24 1000.0(0)/mv 16 0 -557 -4352 0 aVL
S0007.mat 16x1+24 1000.0(0)/mv 16 0 186 4654 0 aVF
S0007.mat 16x1+24 1000.0(0)/mv 16 0 117 -9080 0 V1
S0007.mat 16x1+24 1000.0(0)/mv 16 0 187 -29121 0 V2
S0007.mat 16x1+24 1000.0(0)/mv 16 0 269 20717 0 V3
S0007.mat 16x1+24 1000.0(0)/mv 16 0 168 -7133 0 V4
S0007.mat 16x1+24 1000.0(0)/mv 16 0 11 -17602 0 V5
S0007.mat 16x1+24 1000.0(0)/mv 16 0 235 18128 0 V6
# Age: 69
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown