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

File: <base>/training/cpsc_2018_extra/g4/Q3209.hea (684 bytes) 
Q3209 12 500 5000
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 -25 -19 0 I
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 -25 37 0 II
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 0 -9 0 III
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 25 24 0 aVR
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 -12 -4 0 aVL
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 -12 11 0 aVF
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 20 -6 0 V1
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 77 2 0 V2
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 16 -20 0 V3
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 -14 12 0 V4
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 -39 -35 0 V5
Q3209.mat 16x1+24 1000.0(0)/mV 16 0 -22 1 0 V6
# Age: 83
# Sex: Female
# Dx: 270492004,164861001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown