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

File: <base>/training/ptb/g1/S0104.hea (714 bytes) 
S0104 12 1000 115200
S0104.mat 16x1+24 1000.0(0)/mv 16 0 852 16646 0 I
S0104.mat 16x1+24 1000.0(0)/mv 16 0 248 21180 0 II
S0104.mat 16x1+24 1000.0(0)/mv 16 0 -605 -21463 0 III
S0104.mat 16x1+24 1000.0(0)/mv 16 0 -549 3072 0 aVR
S0104.mat 16x1+24 1000.0(0)/mv 16 0 728 -26866 0 aVL
S0104.mat 16x1+24 1000.0(0)/mv 16 0 -179 -28956 0 aVF
S0104.mat 16x1+24 1000.0(0)/mv 16 0 136 5662 0 V1
S0104.mat 16x1+24 1000.0(0)/mv 16 0 -758 -12398 0 V2
S0104.mat 16x1+24 1000.0(0)/mv 16 0 -149 -11981 0 V3
S0104.mat 16x1+24 1000.0(0)/mv 16 0 852 22830 0 V4
S0104.mat 16x1+24 1000.0(0)/mv 16 0 1489 -11989 0 V5
S0104.mat 16x1+24 1000.0(0)/mv 16 0 1675 -14500 0 V6
# Age: 49
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown