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

File: <base>/training/georgia/g10/E09408.hea (715 bytes) 
E09408 12 500 5000
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -126 -14409 0 I
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -78 28075 0 II
E09408.mat 16x1+24 1000.0(0)/mV 16 0 48 -23602 0 III
E09408.mat 16x1+24 1000.0(0)/mV 16 0 102 25858 0 aVR
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -87 4835 0 aVL
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -14 -30220 0 aVF
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -9 11023 0 V1
E09408.mat 16x1+24 1000.0(0)/mV 16 0 175 -8207 0 V2
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -78 4508 0 V3
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -107 10608 0 V4
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -97 -7100 0 V5
E09408.mat 16x1+24 1000.0(0)/mV 16 0 -117 3366 0 V6
# Age: 33
# Sex: Female
# Dx: 164873001
# Rx: Unknown
# Hx: Unknown