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

File: <base>/training/cpsc_2018_extra/g1/Q0012.hea (696 bytes) 
Q0012 12 500 5000
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 19 -41 0 I
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 2 -5 0 II
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 -16 -6 0 III
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 -10 -5 0 aVR
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 18 18 0 aVL
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 -6 7 0 aVF
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 -9 27 0 V1
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 -18 -38 0 V2
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 135 4 0 V3
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 -445 -54 0 V4
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 103 -23 0 V5
Q0012.mat 16x1+24 1000.0(0)/mV 16 0 110 -5 0 V6
# Age: 79
# Sex: Female
# Dx: 413844008,164867002,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown