Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(734 bytes)
E09066 12 500 5000
E09066.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23673 0 I
E09066.mat 16x1+24 1000.0(0)/mV 16 0 9 12269 0 II
E09066.mat 16x1+24 1000.0(0)/mV 16 0 29 -29825 0 III
E09066.mat 16x1+24 1000.0(0)/mV 16 0 4 5665 0 aVR
E09066.mat 16x1+24 1000.0(0)/mV 16 0 -24 -29247 0 aVL
E09066.mat 16x1+24 1000.0(0)/mV 16 0 19 24219 0 aVF
E09066.mat 16x1+24 1000.0(0)/mV 16 0 48 31156 0 V1
E09066.mat 16x1+24 1000.0(0)/mV 16 0 -9 -27491 0 V2
E09066.mat 16x1+24 1000.0(0)/mV 16 0 -19 21712 0 V3
E09066.mat 16x1+24 1000.0(0)/mV 16 0 0 30062 0 V4
E09066.mat 16x1+24 1000.0(0)/mV 16 0 -9 29360 0 V5
E09066.mat 16x1+24 1000.0(0)/mV 16 0 0 -9654 0 V6
# Age: 57
# Sex: Female
# Dx: 426177001,426434006,164934002,164917005
# Rx: Unknown
# Hx: Unknown