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

File: <base>/training/georgia/g3/E02906.hea (728 bytes) 
E02906 12 500 5000
E02906.mat 16x1+24 1000.0(0)/mV 16 0 -48 29124 0 I
E02906.mat 16x1+24 1000.0(0)/mV 16 0 117 -8066 0 II
E02906.mat 16x1+24 1000.0(0)/mV 16 0 165 28777 0 III
E02906.mat 16x1+24 1000.0(0)/mV 16 0 -34 -10170 0 aVR
E02906.mat 16x1+24 1000.0(0)/mV 16 0 -107 380 0 aVL
E02906.mat 16x1+24 1000.0(0)/mV 16 0 141 10400 0 aVF
E02906.mat 16x1+24 1000.0(0)/mV 16 0 9 -32076 0 V1
E02906.mat 16x1+24 1000.0(0)/mV 16 0 97 -5474 0 V2
E02906.mat 16x1+24 1000.0(0)/mV 16 0 234 -9421 0 V3
E02906.mat 16x1+24 1000.0(0)/mV 16 0 175 -21031 0 V4
E02906.mat 16x1+24 1000.0(0)/mV 16 0 97 -956 0 V5
E02906.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14208 0 V6
# Age: 45
# Sex: Male
# Dx: 111975006,164930006,39732003
# Rx: Unknown
# Hx: Unknown