Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(738 bytes)
E06242 12 500 5000
E06242.mat 16x1+24 1000.0(0)/mV 16 0 9 -18806 0 I
E06242.mat 16x1+24 1000.0(0)/mV 16 0 0 -8886 0 II
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -9 10859 0 III
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -4 -18915 0 aVR
E06242.mat 16x1+24 1000.0(0)/mV 16 0 9 18237 0 aVL
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -4 1146 0 aVF
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -19 14832 0 V1
E06242.mat 16x1+24 1000.0(0)/mV 16 0 39 -9934 0 V2
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -165 24294 0 V3
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -244 -25372 0 V4
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -263 -31835 0 V5
E06242.mat 16x1+24 1000.0(0)/mV 16 0 -224 12996 0 V6
# Age: 67
# Sex: Male
# Dx: 425623009,59931005,164934002,164917005
# Rx: Unknown
# Hx: Unknown