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

File: <base>/training/georgia/g6/E05793.hea (710 bytes) 
E05793 12 500 5000
E05793.mat 16x1+24 1000.0(0)/mV 16 0 29 -16121 0 I
E05793.mat 16x1+24 1000.0(0)/mV 16 0 -9 -21034 0 II
E05793.mat 16x1+24 1000.0(0)/mV 16 0 -39 -4187 0 III
E05793.mat 16x1+24 1000.0(0)/mV 16 0 -9 18466 0 aVR
E05793.mat 16x1+24 1000.0(0)/mV 16 0 34 -5520 0 aVL
E05793.mat 16x1+24 1000.0(0)/mV 16 0 -24 -12095 0 aVF
E05793.mat 16x1+24 1000.0(0)/mV 16 0 9 -24479 0 V1
E05793.mat 16x1+24 1000.0(0)/mV 16 0 29 20450 0 V2
E05793.mat 16x1+24 1000.0(0)/mV 16 0 48 23097 0 V3
E05793.mat 16x1+24 1000.0(0)/mV 16 0 78 -19874 0 V4
E05793.mat 16x1+24 1000.0(0)/mV 16 0 -39 15367 0 V5
E05793.mat 16x1+24 1000.0(0)/mV 16 0 -9 -26713 0 V6
# Age: 51
# Sex: Female
# Dx: 426177001
# Rx: Unknown
# Hx: Unknown