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

File: <base>/training/ptb/g1/S0002.hea (713 bytes) 
S0002 12 1000 115200
S0002.mat 16x1+24 1000.0(0)/mv 16 0 -474 31131 0 I
S0002.mat 16x1+24 1000.0(0)/mv 16 0 -60 -32035 0 II
S0002.mat 16x1+24 1000.0(0)/mv 16 0 415 3012 0 III
S0002.mat 16x1+24 1000.0(0)/mv 16 0 267 6057 0 aVR
S0002.mat 16x1+24 1000.0(0)/mv 16 0 -445 -16969 0 aVL
S0002.mat 16x1+24 1000.0(0)/mv 16 0 178 13921 0 aVF
S0002.mat 16x1+24 1000.0(0)/mv 16 0 1252 -26182 0 V1
S0002.mat 16x1+24 1000.0(0)/mv 16 0 1287 -26720 0 V2
S0002.mat 16x1+24 1000.0(0)/mv 16 0 -933 1496 0 V3
S0002.mat 16x1+24 1000.0(0)/mv 16 0 -822 26456 0 V4
S0002.mat 16x1+24 1000.0(0)/mv 16 0 1614 -9031 0 V5
S0002.mat 16x1+24 1000.0(0)/mv 16 0 1708 -1207 0 V6
# Age: 81
# Sex: Female
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown