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

File: <base>/training/georgia/g10/E09899.hea (710 bytes) 
E09899 12 500 5000
E09899.mat 16x1+24 1000.0(0)/mV 16 0 -29 28180 0 I
E09899.mat 16x1+24 1000.0(0)/mV 16 0 -48 -17410 0 II
E09899.mat 16x1+24 1000.0(0)/mV 16 0 -19 19713 0 III
E09899.mat 16x1+24 1000.0(0)/mV 16 0 39 27413 0 aVR
E09899.mat 16x1+24 1000.0(0)/mV 16 0 -4 -28340 0 aVL
E09899.mat 16x1+24 1000.0(0)/mV 16 0 -34 1238 0 aVF
E09899.mat 16x1+24 1000.0(0)/mV 16 0 39 15937 0 V1
E09899.mat 16x1+24 1000.0(0)/mV 16 0 39 -2124 0 V2
E09899.mat 16x1+24 1000.0(0)/mV 16 0 58 -30149 0 V3
E09899.mat 16x1+24 1000.0(0)/mV 16 0 0 -18022 0 V4
E09899.mat 16x1+24 1000.0(0)/mV 16 0 -9 22684 0 V5
E09899.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29244 0 V6
# Age: 31
# Sex: Female
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown