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

File: <base>/training/ptb/g1/S0082.hea (705 bytes)
S0082 12 1000 115200
S0082.mat 16x1+24 1000.0(0)/mv 16 0 -562 -26944 0 I
S0082.mat 16x1+24 1000.0(0)/mv 16 0 -513 8486 0 II
S0082.mat 16x1+24 1000.0(0)/mv 16 0 50 4242 0 III
S0082.mat 16x1+24 1000.0(0)/mv 16 0 537 9726 0 aVR
S0082.mat 16x1+24 1000.0(0)/mv 16 0 -306 9250 0 aVL
S0082.mat 16x1+24 1000.0(0)/mv 16 0 -232 -2737 0 aVF
S0082.mat 16x1+24 1000.0(0)/mv 16 0 348 -14780 0 V1
S0082.mat 16x1+24 1000.0(0)/mv 16 0 253 -3234 0 V2
S0082.mat 16x1+24 1000.0(0)/mv 16 0 -1031 15917 0 V3
S0082.mat 16x1+24 1000.0(0)/mv 16 0 168 217 0 V4
S0082.mat 16x1+24 1000.0(0)/mv 16 0 -130 -3385 0 V5
S0082.mat 16x1+24 1000.0(0)/mv 16 0 -174 15682 0 V6
# Age: 49
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown