Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(752 bytes)
E09651 12 500 5000
E09651.mat 16x1+24 1000.0(0)/mV 16 0 -9 -9081 0 I
E09651.mat 16x1+24 1000.0(0)/mV 16 0 -39 -11890 0 II
E09651.mat 16x1+24 1000.0(0)/mV 16 0 -29 -2333 0 III
E09651.mat 16x1+24 1000.0(0)/mV 16 0 24 10371 0 aVR
E09651.mat 16x1+24 1000.0(0)/mV 16 0 9 -3622 0 aVL
E09651.mat 16x1+24 1000.0(0)/mV 16 0 -34 -7063 0 aVF
E09651.mat 16x1+24 1000.0(0)/mV 16 0 39 -18689 0 V1
E09651.mat 16x1+24 1000.0(0)/mV 16 0 0 12144 0 V2
E09651.mat 16x1+24 1000.0(0)/mV 16 0 39 -25124 0 V3
E09651.mat 16x1+24 1000.0(0)/mV 16 0 -58 -21177 0 V4
E09651.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30771 0 V5
E09651.mat 16x1+24 1000.0(0)/mV 16 0 -68 -14888 0 V6
# Age: 74
# Sex: Female
# Dx: 111975006,164930006,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown