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

File: <base>/training/georgia/g2/E01149.hea (717 bytes) 
E01149 12 500 5000
E01149.mat 16x1+24 1000.0(0)/mV 16 0 -19 26520 0 I
E01149.mat 16x1+24 1000.0(0)/mV 16 0 19 30209 0 II
E01149.mat 16x1+24 1000.0(0)/mV 16 0 39 3330 0 III
E01149.mat 16x1+24 1000.0(0)/mV 16 0 0 -28363 0 aVR
E01149.mat 16x1+24 1000.0(0)/mV 16 0 -29 -21194 0 aVL
E01149.mat 16x1+24 1000.0(0)/mV 16 0 29 -15940 0 aVF
E01149.mat 16x1+24 1000.0(0)/mV 16 0 19 -12927 0 V1
E01149.mat 16x1+24 1000.0(0)/mV 16 0 39 -18376 0 V2
E01149.mat 16x1+24 1000.0(0)/mV 16 0 0 -28215 0 V3
E01149.mat 16x1+24 1000.0(0)/mV 16 0 -19 -22233 0 V4
E01149.mat 16x1+24 1000.0(0)/mV 16 0 -29 32178 0 V5
E01149.mat 16x1+24 1000.0(0)/mV 16 0 -39 -23624 0 V6
# Age: 62
# Sex: Female
# Dx: 67741000119109
# Rx: Unknown
# Hx: Unknown