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

File: <base>/training/georgia/g3/E02862.hea (728 bytes) 
E02862 12 500 5000
E02862.mat 16x1+24 1000.0(0)/mV 16 0 -117 -12259 0 I
E02862.mat 16x1+24 1000.0(0)/mV 16 0 -107 4275 0 II
E02862.mat 16x1+24 1000.0(0)/mV 16 0 9 16428 0 III
E02862.mat 16x1+24 1000.0(0)/mV 16 0 112 3994 0 aVR
E02862.mat 16x1+24 1000.0(0)/mV 16 0 -63 -13968 0 aVL
E02862.mat 16x1+24 1000.0(0)/mV 16 0 -48 10591 0 aVF
E02862.mat 16x1+24 1000.0(0)/mV 16 0 107 -16682 0 V1
E02862.mat 16x1+24 1000.0(0)/mV 16 0 117 -20800 0 V2
E02862.mat 16x1+24 1000.0(0)/mV 16 0 68 -14820 0 V3
E02862.mat 16x1+24 1000.0(0)/mV 16 0 -9 -23 0 V4
E02862.mat 16x1+24 1000.0(0)/mV 16 0 -48 28999 0 V5
E02862.mat 16x1+24 1000.0(0)/mV 16 0 19 6680 0 V6
# Age: 73
# Sex: Male
# Dx: 428750005,59931005,164873001
# Rx: Unknown
# Hx: Unknown