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

File: <base>/training/ptb/g1/S0032.hea (713 bytes) 
S0032 12 1000 115200
S0032.mat 16x1+24 1000.0(0)/mv 16 0 1156 -32655 0 I
S0032.mat 16x1+24 1000.0(0)/mv 16 0 2179 -22841 0 II
S0032.mat 16x1+24 1000.0(0)/mv 16 0 1023 775 0 III
S0032.mat 16x1+24 1000.0(0)/mv 16 0 -1668 29568 0 aVR
S0032.mat 16x1+24 1000.0(0)/mv 16 0 66 -18175 0 aVL
S0032.mat 16x1+24 1000.0(0)/mv 16 0 1602 19171 0 aVF
S0032.mat 16x1+24 1000.0(0)/mv 16 0 -441 10078 0 V1
S0032.mat 16x1+24 1000.0(0)/mv 16 0 -178 -16839 0 V2
S0032.mat 16x1+24 1000.0(0)/mv 16 0 626 -18663 0 V3
S0032.mat 16x1+24 1000.0(0)/mv 16 0 1266 -8917 0 V4
S0032.mat 16x1+24 1000.0(0)/mv 16 0 350 1832 0 V5
S0032.mat 16x1+24 1000.0(0)/mv 16 0 983 -30360 0 V6
# Age: 67
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown