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

File: <base>/training/georgia/g10/E09788.hea (734 bytes) 
E09788 12 500 5000
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22344 0 I
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -126 -17290 0 II
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -87 5368 0 III
E09788.mat 16x1+24 1000.0(0)/mV 16 0 82 -12689 0 aVR
E09788.mat 16x1+24 1000.0(0)/mV 16 0 24 18342 0 aVL
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -107 -6148 0 aVF
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -136 18514 0 V1
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -58 2368 0 V2
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -117 -22136 0 V3
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -39 6893 0 V4
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -19 22293 0 V5
E09788.mat 16x1+24 1000.0(0)/mV 16 0 -48 19595 0 V6
# Age: 64
# Sex: Male
# Dx: 59931005,425623009,164934002
# Rx: Unknown
# Hx: Unknown