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

File: <base>/training/georgia/g10/E09462.hea (724 bytes) 
E09462 12 500 5000
E09462.mat 16x1+24 1000.0(0)/mV 16 0 73 -6359 0 I
E09462.mat 16x1+24 1000.0(0)/mV 16 0 48 -5107 0 II
E09462.mat 16x1+24 1000.0(0)/mV 16 0 -24 1279 0 III
E09462.mat 16x1+24 1000.0(0)/mV 16 0 -61 5674 0 aVR
E09462.mat 16x1+24 1000.0(0)/mV 16 0 48 -3997 0 aVL
E09462.mat 16x1+24 1000.0(0)/mV 16 0 12 -1909 0 aVF
E09462.mat 16x1+24 1000.0(0)/mV 16 0 -4 29356 0 V1
E09462.mat 16x1+24 1000.0(0)/mV 16 0 0 -1889 0 V2
E09462.mat 16x1+24 1000.0(0)/mV 16 0 34 30840 0 V3
E09462.mat 16x1+24 1000.0(0)/mV 16 0 -4 -27129 0 V4
E09462.mat 16x1+24 1000.0(0)/mV 16 0 -53 -25293 0 V5
E09462.mat 16x1+24 1000.0(0)/mV 16 0 -48 -26035 0 V6
# Age: 55
# Sex: Male
# Dx: 427084000,425623009,164934002
# Rx: Unknown
# Hx: Unknown