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

File: <base>/training/georgia/g8/E07902.hea (717 bytes) 
E07902 12 500 5000
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -156 10326 0 I
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -258 4890 0 II
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -102 -5217 0 III
E07902.mat 16x1+24 1000.0(0)/mV 16 0 207 -7468 0 aVR
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -26 7730 0 aVL
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -180 -190 0 aVF
E07902.mat 16x1+24 1000.0(0)/mV 16 0 131 23722 0 V1
E07902.mat 16x1+24 1000.0(0)/mV 16 0 53 16151 0 V2
E07902.mat 16x1+24 1000.0(0)/mV 16 0 117 13656 0 V3
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -53 21382 0 V4
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -112 -29550 0 V5
E07902.mat 16x1+24 1000.0(0)/mV 16 0 -107 21922 0 V6
# Age: 75
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown