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

File: <base>/training/georgia/g10/E09611.hea (698 bytes) 
E09611 12 500 5000
E09611.mat 16x1+24 1000.0(0)/mV 16 0 -19 3369 0 I
E09611.mat 16x1+24 1000.0(0)/mV 16 0 0 8533 0 II
E09611.mat 16x1+24 1000.0(0)/mV 16 0 19 5484 0 III
E09611.mat 16x1+24 1000.0(0)/mV 16 0 9 -6316 0 aVR
E09611.mat 16x1+24 1000.0(0)/mV 16 0 -19 -967 0 aVL
E09611.mat 16x1+24 1000.0(0)/mV 16 0 9 7064 0 aVF
E09611.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6768 0 V1
E09611.mat 16x1+24 1000.0(0)/mV 16 0 0 28484 0 V2
E09611.mat 16x1+24 1000.0(0)/mV 16 0 -58 31957 0 V3
E09611.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24956 0 V4
E09611.mat 16x1+24 1000.0(0)/mV 16 0 68 -6781 0 V5
E09611.mat 16x1+24 1000.0(0)/mV 16 0 68 -17237 0 V6
# Age: 88
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown