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

File: <base>/training/georgia/g10/E09346.hea (736 bytes) 
E09346 12 500 5000
E09346.mat 16x1+24 1000.0(0)/mV 16 0 -68 -24125 0 I
E09346.mat 16x1+24 1000.0(0)/mV 16 0 -78 -29134 0 II
E09346.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4383 0 III
E09346.mat 16x1+24 1000.0(0)/mV 16 0 73 -6162 0 aVR
E09346.mat 16x1+24 1000.0(0)/mV 16 0 -29 23175 0 aVL
E09346.mat 16x1+24 1000.0(0)/mV 16 0 -43 -16636 0 aVF
E09346.mat 16x1+24 1000.0(0)/mV 16 0 29 2825 0 V1
E09346.mat 16x1+24 1000.0(0)/mV 16 0 29 5257 0 V2
E09346.mat 16x1+24 1000.0(0)/mV 16 0 4 -10599 0 V3
E09346.mat 16x1+24 1000.0(0)/mV 16 0 0 17745 0 V4
E09346.mat 16x1+24 1000.0(0)/mV 16 0 -19 10149 0 V5
E09346.mat 16x1+24 1000.0(0)/mV 16 0 -9 10875 0 V6
# Age: 79
# Sex: Female
# Dx: 111975006,164930006,59931005,164873001
# Rx: Unknown
# Hx: Unknown