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

File: <base>/training/cpsc_2018_extra/g4/Q3216.hea (723 bytes) 
Q3216 12 500 6500
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 20 3158 0 I
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 -53 1566 0 II
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 -73 -1592 0 III
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 16 -3160 0 aVR
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 46 -1070 0 aVL
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 -63 -2169 0 aVF
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 206 1414 0 V1
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 472 -752 0 V2
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 372 2963 0 V3
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 138 2312 0 V4
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 0 -2631 0 V5
Q3216.mat 16x1+24 1000.0(0)/mV 16 0 21 -3196 0 V6
# Age: 76
# Sex: Female
# Dx: 164867002,428750005,427084000
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown