Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(716 bytes)
E00315 12 500 5000
E00315.mat 16x1+24 1000.0(0)/mV 16 0 58 -9890 0 I
E00315.mat 16x1+24 1000.0(0)/mV 16 0 -273 -30962 0 II
E00315.mat 16x1+24 1000.0(0)/mV 16 0 -331 -20629 0 III
E00315.mat 16x1+24 1000.0(0)/mV 16 0 107 20219 0 aVR
E00315.mat 16x1+24 1000.0(0)/mV 16 0 195 4747 0 aVL
E00315.mat 16x1+24 1000.0(0)/mV 16 0 -302 -25718 0 aVF
E00315.mat 16x1+24 1000.0(0)/mV 16 0 78 19165 0 V1
E00315.mat 16x1+24 1000.0(0)/mV 16 0 87 16727 0 V2
E00315.mat 16x1+24 1000.0(0)/mV 16 0 -58 23593 0 V3
E00315.mat 16x1+24 1000.0(0)/mV 16 0 -107 627 0 V4
E00315.mat 16x1+24 1000.0(0)/mV 16 0 -185 4246 0 V5
E00315.mat 16x1+24 1000.0(0)/mV 16 0 -214 -4195 0 V6
# Age: 35
# Sex: Female
# Dx: 427393009
# Rx: Unknown
# Hx: Unknown