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

File: <base>/training/cpsc_2018/g7/A6662.hea (704 bytes) 
A6662 12 500 9000
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -42 -3381 0 I
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -53 -4140 0 II
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -11 -759 0 III
A6662.mat 16x1+24 1000.0(0)/mV 16 0 47 3719 0 aVR
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -15 3085 0 aVL
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -31 2732 0 aVF
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -23 -2869 0 V1
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -12 3133 0 V2
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -47 -925 0 V3
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -56 1764 0 V4
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -70 -533 0 V5
A6662.mat 16x1+24 1000.0(0)/mV 16 0 -89 -150 0 V6
# Age: 83
# Sex: Female
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown