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

File: <base>/training/cpsc_2018_extra/g1/Q0972.hea (685 bytes) 
Q0972 12 500 5000
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -18 15 0 I
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -35 47 0 II
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -17 -7 0 III
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 27 -8 0 aVR
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 0 14 0 aVL
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -27 10 0 aVF
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -9 20 0 V1
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -41 -29 0 V2
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -56 46 0 V3
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -61 27 0 V4
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -61 2 0 V5
Q0972.mat 16x1+24 1000.0(0)/mV 16 0 -44 21 0 V6
# Age: 78
# Sex: Female
# Dx: 270492004,164865005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown