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

File: <base>/training/cpsc_2018/g4/A3303.hea (671 bytes) 
A3303 12 500 5000
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -9 -33 0 I
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -1 -4 0 II
A3303.mat 16x1+24 1000.0(0)/mV 16 0 9 54 0 III
A3303.mat 16x1+24 1000.0(0)/mV 16 0 5 3 0 aVR
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -8 -23 0 aVL
A3303.mat 16x1+24 1000.0(0)/mV 16 0 4 27 0 aVF
A3303.mat 16x1+24 1000.0(0)/mV 16 0 1 11 0 V1
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -60 -23 0 V2
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -49 -54 0 V3
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -15 -2 0 V4
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -12 -2 0 V5
A3303.mat 16x1+24 1000.0(0)/mV 16 0 -14 16 0 V6
# Age: 79
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown