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

File: <base>/training/georgia/g10/E09401.hea (749 bytes) 
E09401 12 500 5000
E09401.mat 16x1+24 1000.0(0)/mV 16 0 -536 32132 0 I
E09401.mat 16x1+24 1000.0(0)/mV 16 0 68 22255 0 II
E09401.mat 16x1+24 1000.0(0)/mV 16 0 605 -10426 0 III
E09401.mat 16x1+24 1000.0(0)/mV 16 0 234 5635 0 aVR
E09401.mat 16x1+24 1000.0(0)/mV 16 0 -570 -11526 0 aVL
E09401.mat 16x1+24 1000.0(0)/mV 16 0 336 5937 0 aVF
E09401.mat 16x1+24 1000.0(0)/mV 16 0 1034 17694 0 V1
E09401.mat 16x1+24 1000.0(0)/mV 16 0 -234 11045 0 V2
E09401.mat 16x1+24 1000.0(0)/mV 16 0 -322 16490 0 V3
E09401.mat 16x1+24 1000.0(0)/mV 16 0 -478 31158 0 V4
E09401.mat 16x1+24 1000.0(0)/mV 16 0 -117 -10357 0 V5
E09401.mat 16x1+24 1000.0(0)/mV 16 0 -204 20928 0 V6
# Age: 79
# Sex: Male
# Dx: 59118001,713422000,425419005,164934002
# Rx: Unknown
# Hx: Unknown