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

File: <base>/training/cpsc_2018/g1/A0509.hea (699 bytes) 
A0509 12 500 5000
A0509.mat 16x1+24 1000.0(0)/mV 16 0 -27 -329 0 I
A0509.mat 16x1+24 1000.0(0)/mV 16 0 16 -1170 0 II
A0509.mat 16x1+24 1000.0(0)/mV 16 0 43 -841 0 III
A0509.mat 16x1+24 1000.0(0)/mV 16 0 6 920 0 aVR
A0509.mat 16x1+24 1000.0(0)/mV 16 0 -35 -2165 0 aVL
A0509.mat 16x1+24 1000.0(0)/mV 16 0 30 1375 0 aVF
A0509.mat 16x1+24 1000.0(0)/mV 16 0 -75 1095 0 V1
A0509.mat 16x1+24 1000.0(0)/mV 16 0 -60 -1403 0 V2
A0509.mat 16x1+24 1000.0(0)/mV 16 0 -51 -1262 0 V3
A0509.mat 16x1+24 1000.0(0)/mV 16 0 -17 -1928 0 V4
A0509.mat 16x1+24 1000.0(0)/mV 16 0 4 -308 0 V5
A0509.mat 16x1+24 1000.0(0)/mV 16 0 -31 1951 0 V6
# Age: 54
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown