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

File: <base>/training/cpsc_2018_extra/g4/Q3572.hea (700 bytes) 
Q3572 12 500 5000
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 194 17 0 I
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 -38 -5 0 II
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 -232 -5 0 III
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 -78 -17 0 aVR
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 213 57 0 aVL
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 -135 -6 0 aVF
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 134 57 0 V1
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 493 29 0 V2
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 253 56 0 V3
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 51 34 0 V4
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 -159 -2 0 V5
Q3572.mat 16x1+24 1000.0(0)/mV 16 0 -171 4 0 V6
# Age: 66
# Sex: Male
# Dx: 164873001,428750005,426627000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown