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

File: <base>/training/georgia/g4/E03904.hea (725 bytes) 
E03904 12 500 5000
E03904.mat 16x1+24 1000.0(0)/mV 16 0 9 2064 0 I
E03904.mat 16x1+24 1000.0(0)/mV 16 0 9 31305 0 II
E03904.mat 16x1+24 1000.0(0)/mV 16 0 0 28566 0 III
E03904.mat 16x1+24 1000.0(0)/mV 16 0 -9 16069 0 aVR
E03904.mat 16x1+24 1000.0(0)/mV 16 0 4 19736 0 aVL
E03904.mat 16x1+24 1000.0(0)/mV 16 0 4 29938 0 aVF
E03904.mat 16x1+24 1000.0(0)/mV 16 0 68 -30798 0 V1
E03904.mat 16x1+24 1000.0(0)/mV 16 0 78 31076 0 V2
E03904.mat 16x1+24 1000.0(0)/mV 16 0 -97 24869 0 V3
E03904.mat 16x1+24 1000.0(0)/mV 16 0 117 -3762 0 V4
E03904.mat 16x1+24 1000.0(0)/mV 16 0 -97 22922 0 V5
E03904.mat 16x1+24 1000.0(0)/mV 16 0 -39 -31273 0 V6
# Age: 45
# Sex: Male
# Dx: 67741000119109,427084000,164934002
# Rx: Unknown
# Hx: Unknown