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

File: <base>/training/georgia/g10/E09129.hea (706 bytes) 
E09129 12 500 5000
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -68 -8348 0 I
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -29 -6494 0 II
E09129.mat 16x1+24 1000.0(0)/mV 16 0 39 1697 0 III
E09129.mat 16x1+24 1000.0(0)/mV 16 0 48 7348 0 aVR
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -53 -4513 0 aVL
E09129.mat 16x1+24 1000.0(0)/mV 16 0 4 -2246 0 aVF
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -68 -13186 0 V1
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -29 -32288 0 V2
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -9 4065 0 V3
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -19 -894 0 V4
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -9 17701 0 V5
E09129.mat 16x1+24 1000.0(0)/mV 16 0 -19 -3836 0 V6
# Age: 58
# Sex: Female
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown