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

File: <base>/training/cpsc_2018_extra/g1/Q0444.hea (732 bytes) 
Q0444 12 500 10000
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 -146 -4902 0 I
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 -298 2551 0 II
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 -153 -2547 0 III
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 222 553 0 aVR
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 4 4176 0 aVL
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 -226 -4746 0 aVF
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 908 3979 0 V1
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 933 1936 0 V2
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 284 -3685 0 V3
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 -437 -1257 0 V4
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 -227 4816 0 V5
Q0444.mat 16x1+24 1000.0(0)/mV 16 0 -366 726 0 V6
# Age: 87
# Sex: Female
# Dx: 164867002,428750005,427084000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown