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

File: <base>/training/cpsc_2018/g2/A1604.hea (707 bytes) 
A1604 12 500 11000
A1604.mat 16x1+24 1000.0(0)/mV 16 0 -11 1077 0 I
A1604.mat 16x1+24 1000.0(0)/mV 16 0 17 -2029 0 II
A1604.mat 16x1+24 1000.0(0)/mV 16 0 28 -3106 0 III
A1604.mat 16x1+24 1000.0(0)/mV 16 0 -3 -384 0 aVR
A1604.mat 16x1+24 1000.0(0)/mV 16 0 -19 1072 0 aVL
A1604.mat 16x1+24 1000.0(0)/mV 16 0 22 -1212 0 aVF
A1604.mat 16x1+24 1000.0(0)/mV 16 0 188 3280 0 V1
A1604.mat 16x1+24 1000.0(0)/mV 16 0 -133 3972 0 V2
A1604.mat 16x1+24 1000.0(0)/mV 16 0 -373 2852 0 V3
A1604.mat 16x1+24 1000.0(0)/mV 16 0 450 -184 0 V4
A1604.mat 16x1+24 1000.0(0)/mV 16 0 170 5284 0 V5
A1604.mat 16x1+24 1000.0(0)/mV 16 0 2753 -5480 0 V6
# Age: 83
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown