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

File: <base>/training/ptb/g1/S0109.hea (705 bytes) 
S0109 12 1000 115200
S0109.mat 16x1+24 1000.0(0)/mv 16 0 15 6552 0 I
S0109.mat 16x1+24 1000.0(0)/mv 16 0 -233 15622 0 II
S0109.mat 16x1+24 1000.0(0)/mv 16 0 -248 14999 0 III
S0109.mat 16x1+24 1000.0(0)/mv 16 0 110 14506 0 aVR
S0109.mat 16x1+24 1000.0(0)/mv 16 0 132 -24920 0 aVL
S0109.mat 16x1+24 1000.0(0)/mv 16 0 -241 8575 0 aVF
S0109.mat 16x1+24 1000.0(0)/mv 16 0 224 26574 0 V1
S0109.mat 16x1+24 1000.0(0)/mv 16 0 -13 -30448 0 V2
S0109.mat 16x1+24 1000.0(0)/mv 16 0 186 7219 0 V3
S0109.mat 16x1+24 1000.0(0)/mv 16 0 -483 9499 0 V4
S0109.mat 16x1+24 1000.0(0)/mv 16 0 -614 20488 0 V5
S0109.mat 16x1+24 1000.0(0)/mv 16 0 -668 12808 0 V6
# Age: 40
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown