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

File: <base>/training/georgia/g4/E03763.hea (750 bytes) 
E03763 12 500 5000
E03763.mat 16x1+24 1000.0(0)/mV 16 0 -9 31986 0 I
E03763.mat 16x1+24 1000.0(0)/mV 16 0 -19 29452 0 II
E03763.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2349 0 III
E03763.mat 16x1+24 1000.0(0)/mV 16 0 14 -30601 0 aVR
E03763.mat 16x1+24 1000.0(0)/mV 16 0 0 17142 0 aVL
E03763.mat 16x1+24 1000.0(0)/mV 16 0 -14 13476 0 aVF
E03763.mat 16x1+24 1000.0(0)/mV 16 0 0 -12729 0 V1
E03763.mat 16x1+24 1000.0(0)/mV 16 0 9 -14410 0 V2
E03763.mat 16x1+24 1000.0(0)/mV 16 0 19 -15938 0 V3
E03763.mat 16x1+24 1000.0(0)/mV 16 0 58 2324 0 V4
E03763.mat 16x1+24 1000.0(0)/mV 16 0 19 -3523 0 V5
E03763.mat 16x1+24 1000.0(0)/mV 16 0 19 -7630 0 V6
# Age: 60
# Sex: Male
# Dx: 713426002,39732003,425419005,59931005,164934002,164890007
# Rx: Unknown
# Hx: Unknown