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

File: <base>/training/georgia/g10/E09487.hea (718 bytes) 
E09487 12 500 5000
E09487.mat 16x1+24 1000.0(0)/mV 16 0 -48 27157 0 I
E09487.mat 16x1+24 1000.0(0)/mV 16 0 19 -3565 0 II
E09487.mat 16x1+24 1000.0(0)/mV 16 0 68 -30409 0 III
E09487.mat 16x1+24 1000.0(0)/mV 16 0 14 20965 0 aVR
E09487.mat 16x1+24 1000.0(0)/mV 16 0 -58 29425 0 aVL
E09487.mat 16x1+24 1000.0(0)/mV 16 0 43 16151 0 aVF
E09487.mat 16x1+24 1000.0(0)/mV 16 0 253 -2968 0 V1
E09487.mat 16x1+24 1000.0(0)/mV 16 0 390 -1268 0 V2
E09487.mat 16x1+24 1000.0(0)/mV 16 0 341 -4948 0 V3
E09487.mat 16x1+24 1000.0(0)/mV 16 0 146 5636 0 V4
E09487.mat 16x1+24 1000.0(0)/mV 16 0 68 31426 0 V5
E09487.mat 16x1+24 1000.0(0)/mV 16 0 -9 20692 0 V6
# Age: 50
# Sex: Female
# Dx: 428750005,164873001
# Rx: Unknown
# Hx: Unknown