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

File: <base>/training/ptb/g1/S0062.hea (714 bytes) 
S0062 12 1000 87910
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -1107 13634 0 I
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -1641 -20233 0 II
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -534 11951 0 III
S0062.mat 16x1+24 1000.0(0)/mv 16 0 1374 4825 0 aVR
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -286 13254 0 aVL
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -1088 -4420 0 aVF
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -463 7237 0 V1
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -546 16040 0 V2
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -559 14829 0 V3
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -585 23457 0 V4
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -584 19788 0 V5
S0062.mat 16x1+24 1000.0(0)/mv 16 0 -318 4476 0 V6
# Age: 43
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown