Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(725 bytes)
E08602 12 500 5000
E08602.mat 16x1+24 1000.0(0)/mV 16 0 9 4879 0 I
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -48 -32505 0 II
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -58 28108 0 III
E08602.mat 16x1+24 1000.0(0)/mV 16 0 19 13779 0 aVR
E08602.mat 16x1+24 1000.0(0)/mV 16 0 34 21012 0 aVL
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -53 30922 0 aVF
E08602.mat 16x1+24 1000.0(0)/mV 16 0 19 24300 0 V1
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -9 11557 0 V2
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -39 -30395 0 V3
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -58 25413 0 V4
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -68 -23039 0 V5
E08602.mat 16x1+24 1000.0(0)/mV 16 0 -87 13397 0 V6
# Age: 71
# Sex: Female
# Dx: 67741000119109,426177001
# Rx: Unknown
# Hx: Unknown