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

File: <base>/training/georgia/g10/E09766.hea (704 bytes) 
E09766 12 500 5000
E09766.mat 16x1+24 1000.0(0)/mV 16 0 4 -13049 0 I
E09766.mat 16x1+24 1000.0(0)/mV 16 0 87 10583 0 II
E09766.mat 16x1+24 1000.0(0)/mV 16 0 82 23669 0 III
E09766.mat 16x1+24 1000.0(0)/mV 16 0 -46 1042 0 aVR
E09766.mat 16x1+24 1000.0(0)/mV 16 0 -39 -18087 0 aVL
E09766.mat 16x1+24 1000.0(0)/mV 16 0 85 17071 0 aVF
E09766.mat 16x1+24 1000.0(0)/mV 16 0 53 -23837 0 V1
E09766.mat 16x1+24 1000.0(0)/mV 16 0 9 -20307 0 V2
E09766.mat 16x1+24 1000.0(0)/mV 16 0 34 8766 0 V3
E09766.mat 16x1+24 1000.0(0)/mV 16 0 14 29795 0 V4
E09766.mat 16x1+24 1000.0(0)/mV 16 0 -4 -14652 0 V5
E09766.mat 16x1+24 1000.0(0)/mV 16 0 -63 -10033 0 V6
# Age: 58
# Sex: Male
# Dx: 59931005
# Rx: Unknown
# Hx: Unknown