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

File: <base>/training/georgia/g3/E02842.hea (700 bytes) 
E02842 12 500 5000
E02842.mat 16x1+24 1000.0(0)/mV 16 0 -4 28886 0 I
E02842.mat 16x1+24 1000.0(0)/mV 16 0 -4 -28473 0 II
E02842.mat 16x1+24 1000.0(0)/mV 16 0 0 7776 0 III
E02842.mat 16x1+24 1000.0(0)/mV 16 0 4 32172 0 aVR
E02842.mat 16x1+24 1000.0(0)/mV 16 0 -2 -22427 0 aVL
E02842.mat 16x1+24 1000.0(0)/mV 16 0 -2 -10418 0 aVF
E02842.mat 16x1+24 1000.0(0)/mV 16 0 -19 4868 0 V1
E02842.mat 16x1+24 1000.0(0)/mV 16 0 63 28016 0 V2
E02842.mat 16x1+24 1000.0(0)/mV 16 0 -239 6146 0 V3
E02842.mat 16x1+24 1000.0(0)/mV 16 0 -14 9499 0 V4
E02842.mat 16x1+24 1000.0(0)/mV 16 0 4 -27445 0 V5
E02842.mat 16x1+24 1000.0(0)/mV 16 0 9 21472 0 V6
# Age: 53
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown