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

File: <base>/training/georgia/g6/E05723.hea (711 bytes) 
E05723 12 500 5000
E05723.mat 16x1+24 1000.0(0)/mV 16 0 0 -17490 0 I
E05723.mat 16x1+24 1000.0(0)/mV 16 0 29 -3839 0 II
E05723.mat 16x1+24 1000.0(0)/mV 16 0 29 14039 0 III
E05723.mat 16x1+24 1000.0(0)/mV 16 0 -14 10408 0 aVR
E05723.mat 16x1+24 1000.0(0)/mV 16 0 -14 -15791 0 aVL
E05723.mat 16x1+24 1000.0(0)/mV 16 0 29 4999 0 aVF
E05723.mat 16x1+24 1000.0(0)/mV 16 0 48 32410 0 V1
E05723.mat 16x1+24 1000.0(0)/mV 16 0 78 28662 0 V2
E05723.mat 16x1+24 1000.0(0)/mV 16 0 78 4258 0 V3
E05723.mat 16x1+24 1000.0(0)/mV 16 0 48 -29938 0 V4
E05723.mat 16x1+24 1000.0(0)/mV 16 0 9 -29280 0 V5
E05723.mat 16x1+24 1000.0(0)/mV 16 0 19 -586 0 V6
# Age: 84
# Sex: Male
# Dx: 164890007,233917008
# Rx: Unknown
# Hx: Unknown