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

File: <base>/training/georgia/g10/E09494.hea (708 bytes) 
E09494 12 500 5000
E09494.mat 16x1+24 1000.0(0)/mV 16 0 -165 20035 0 I
E09494.mat 16x1+24 1000.0(0)/mV 16 0 -39 -24502 0 II
E09494.mat 16x1+24 1000.0(0)/mV 16 0 126 20258 0 III
E09494.mat 16x1+24 1000.0(0)/mV 16 0 102 2119 0 aVR
E09494.mat 16x1+24 1000.0(0)/mV 16 0 -146 32696 0 aVL
E09494.mat 16x1+24 1000.0(0)/mV 16 0 43 30214 0 aVF
E09494.mat 16x1+24 1000.0(0)/mV 16 0 87 18092 0 V1
E09494.mat 16x1+24 1000.0(0)/mV 16 0 39 -3060 0 V2
E09494.mat 16x1+24 1000.0(0)/mV 16 0 48 11549 0 V3
E09494.mat 16x1+24 1000.0(0)/mV 16 0 19 4495 0 V4
E09494.mat 16x1+24 1000.0(0)/mV 16 0 19 -4162 0 V5
E09494.mat 16x1+24 1000.0(0)/mV 16 0 -19 -6781 0 V6
# Age: 33
# Sex: Female
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown