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

File: <base>/training/georgia/g10/E09110.hea (736 bytes) 
E09110 12 500 5000
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -9 20194 0 I
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -78 -32722 0 II
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -68 13326 0 III
E09110.mat 16x1+24 1000.0(0)/mV 16 0 43 -26782 0 aVR
E09110.mat 16x1+24 1000.0(0)/mV 16 0 29 -29793 0 aVL
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -73 -9701 0 aVF
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -68 19570 0 V1
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -39 -19459 0 V2
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -9 -25457 0 V3
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -39 -18554 0 V4
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -39 10672 0 V5
E09110.mat 16x1+24 1000.0(0)/mV 16 0 -78 32629 0 V6
# Age: 64
# Sex: Female
# Dx: 425623009,164934002,164873001
# Rx: Unknown
# Hx: Unknown