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

File: <base>/training/georgia/g4/E03412.hea (738 bytes) 
E03412 12 500 5000
E03412.mat 16x1+24 1000.0(0)/mV 16 0 68 -8264 0 I
E03412.mat 16x1+24 1000.0(0)/mV 16 0 -97 -20589 0 II
E03412.mat 16x1+24 1000.0(0)/mV 16 0 -165 -10880 0 III
E03412.mat 16x1+24 1000.0(0)/mV 16 0 14 15250 0 aVR
E03412.mat 16x1+24 1000.0(0)/mV 16 0 117 1243 0 aVL
E03412.mat 16x1+24 1000.0(0)/mV 16 0 -131 -15815 0 aVF
E03412.mat 16x1+24 1000.0(0)/mV 16 0 0 -9103 0 V1
E03412.mat 16x1+24 1000.0(0)/mV 16 0 0 -32586 0 V2
E03412.mat 16x1+24 1000.0(0)/mV 16 0 0 5624 0 V3
E03412.mat 16x1+24 1000.0(0)/mV 16 0 -39 -994 0 V4
E03412.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14098 0 V5
E03412.mat 16x1+24 1000.0(0)/mV 16 0 -29 -20491 0 V6
# Age: 81
# Sex: Female
# Dx: 164909002,6374002,164889003,39732003
# Rx: Unknown
# Hx: Unknown