Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(722 bytes)
E07109 12 500 5000
E07109.mat 16x1+24 1000.0(0)/mV 16 0 117 402 0 I
E07109.mat 16x1+24 1000.0(0)/mV 16 0 185 -6279 0 II
E07109.mat 16x1+24 1000.0(0)/mV 16 0 68 -6168 0 III
E07109.mat 16x1+24 1000.0(0)/mV 16 0 -151 3057 0 aVR
E07109.mat 16x1+24 1000.0(0)/mV 16 0 24 3779 0 aVL
E07109.mat 16x1+24 1000.0(0)/mV 16 0 126 -6086 0 aVF
E07109.mat 16x1+24 1000.0(0)/mV 16 0 -29 -14125 0 V1
E07109.mat 16x1+24 1000.0(0)/mV 16 0 214 -700 0 V2
E07109.mat 16x1+24 1000.0(0)/mV 16 0 156 -9449 0 V3
E07109.mat 16x1+24 1000.0(0)/mV 16 0 185 8591 0 V4
E07109.mat 16x1+24 1000.0(0)/mV 16 0 175 -8947 0 V5
E07109.mat 16x1+24 1000.0(0)/mV 16 0 146 -16271 0 V6
# Age: 44
# Sex: Male
# Dx: 67741000119109,427084000
# Rx: Unknown
# Hx: Unknown