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

File: <base>/training/cpsc_2018_extra/g4/Q3213.hea (709 bytes) 
Q3213 12 500 6500
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 73 -2074 0 I
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 104 -497 0 II
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 31 1577 0 III
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 -89 1084 0 aVR
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 20 -1402 0 aVL
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 67 641 0 aVF
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 51 1862 0 V1
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 322 -1833 0 V2
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 308 -2305 0 V3
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 318 2430 0 V4
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 55 70 0 V5
Q3213.mat 16x1+24 1000.0(0)/mV 16 0 148 -2189 0 V6
# Age: 79
# Sex: Female
# Dx: 164867002,428750005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown