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

File: <base>/training/cpsc_2018_extra/g1/Q0442.hea (696 bytes) 
Q0442 12 500 6500
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 -39 -2760 0 I
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 -15 2290 0 II
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 23 -1450 0 III
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 26 -3045 0 aVR
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 -30 3191 0 aVL
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 4 565 0 aVF
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 23 2418 0 V1
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 0 2648 0 V2
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 41 2988 0 V3
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 -16 598 0 V4
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 -72 2441 0 V5
Q0442.mat 16x1+24 1000.0(0)/mV 16 0 -71 2254 0 V6
# Age: 79
# Sex: Female
# Dx: 164867002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown