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

File: <base>/training/cpsc_2018_extra/g1/Q0909.hea (675 bytes) 
Q0909 12 500 5987
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -24 0 0 I
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -30 30 0 II
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -6 23 0 III
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 27 9 0 aVR
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -9 -46 0 aVL
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -18 65 0 aVF
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 23 -10 0 V1
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -45 19 0 V2
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -49 12 0 V3
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -51 38 0 V4
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -49 31 0 V5
Q0909.mat 16x1+24 1000.0(0)/mV 16 0 -58 24 0 V6
# Age: 28
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown