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

File: <base>/training/georgia/g10/E09314.hea (707 bytes) 
E09314 12 500 5000
E09314.mat 16x1+24 1000.0(0)/mV 16 0 -78 17160 0 I
E09314.mat 16x1+24 1000.0(0)/mV 16 0 -48 3582 0 II
E09314.mat 16x1+24 1000.0(0)/mV 16 0 29 -13242 0 III
E09314.mat 16x1+24 1000.0(0)/mV 16 0 63 22002 0 aVR
E09314.mat 16x1+24 1000.0(0)/mV 16 0 -53 15599 0 aVL
E09314.mat 16x1+24 1000.0(0)/mV 16 0 -9 27988 0 aVF
E09314.mat 16x1+24 1000.0(0)/mV 16 0 68 6531 0 V1
E09314.mat 16x1+24 1000.0(0)/mV 16 0 107 5389 0 V2
E09314.mat 16x1+24 1000.0(0)/mV 16 0 -39 -22308 0 V3
E09314.mat 16x1+24 1000.0(0)/mV 16 0 19 6658 0 V4
E09314.mat 16x1+24 1000.0(0)/mV 16 0 68 -26086 0 V5
E09314.mat 16x1+24 1000.0(0)/mV 16 0 78 -10937 0 V6
# Age: 39
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown