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

File: <base>/training/cpsc_2018_extra/g1/Q0209.hea (714 bytes) 
Q0209 12 500 5000
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 337 -10 0 I
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 230 38 0 II
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -107 -12 0 III
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -283 -6 0 aVR
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 222 17 0 aVL
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 62 17 0 aVF
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -648 -62 0 V1
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -1009 -55 0 V2
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -1004 -53 0 V3
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -880 -56 0 V4
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -414 -42 0 V5
Q0209.mat 16x1+24 1000.0(0)/mV 16 0 -57 18 0 V6
# Age: 63
# Sex: Female
# Dx: 413844008,164909002,164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown