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

File: <base>/training/cpsc_2018_extra/g4/Q3433.hea (696 bytes) 
Q3433 12 500 6500
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 -26 -2878 0 I
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 -16 961 0 II
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 9 -2661 0 III
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 20 -2389 0 aVR
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 -17 1383 0 aVL
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 -3 3127 0 aVF
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 69 80 0 V1
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 104 547 0 V2
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 50 -2165 0 V3
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 12 -2714 0 V4
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 -9 313 0 V5
Q3433.mat 16x1+24 1000.0(0)/mV 16 0 -31 -1487 0 V6
# Age: 88
# Sex: Female
# Dx: 428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown