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

File: <base>/training/georgia/g5/E04793.hea (716 bytes) 
E04793 12 500 5000
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7932 0 I
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -107 3742 0 II
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -48 12294 0 III
E04793.mat 16x1+24 1000.0(0)/mV 16 0 82 1906 0 aVR
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -4 -10921 0 aVL
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -78 8040 0 aVF
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -39 18965 0 V1
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -292 -8332 0 V2
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -224 27096 0 V3
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -244 18502 0 V4
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -273 -4049 0 V5
E04793.mat 16x1+24 1000.0(0)/mV 16 0 -195 32357 0 V6
# Age: 25
# Sex: Female
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown