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

File: <base>/training/ptb/g1/S0072.hea (706 bytes) 
S0072 12 1000 115200
S0072.mat 16x1+24 1000.0(0)/mv 16 0 102 14186 0 I
S0072.mat 16x1+24 1000.0(0)/mv 16 0 -230 133 0 II
S0072.mat 16x1+24 1000.0(0)/mv 16 0 -331 16609 0 III
S0072.mat 16x1+24 1000.0(0)/mv 16 0 64 -7034 0 aVR
S0072.mat 16x1+24 1000.0(0)/mv 16 0 217 -3557 0 aVL
S0072.mat 16x1+24 1000.0(0)/mv 16 0 -280 -27023 0 aVF
S0072.mat 16x1+24 1000.0(0)/mv 16 0 62 -14953 0 V1
S0072.mat 16x1+24 1000.0(0)/mv 16 0 261 -15809 0 V2
S0072.mat 16x1+24 1000.0(0)/mv 16 0 -1 30169 0 V3
S0072.mat 16x1+24 1000.0(0)/mv 16 0 -152 -18064 0 V4
S0072.mat 16x1+24 1000.0(0)/mv 16 0 -119 2149 0 V5
S0072.mat 16x1+24 1000.0(0)/mv 16 0 -140 20920 0 V6
# Age: 76
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown