Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(752 bytes)
E09063 12 500 2500
E09063.mat 16x1+24 1000.0(0)/mV 16 0 -48 -29600 0 I
E09063.mat 16x1+24 1000.0(0)/mV 16 0 -48 -30452 0 II
E09063.mat 16x1+24 1000.0(0)/mV 16 0 0 -859 0 III
E09063.mat 16x1+24 1000.0(0)/mV 16 0 48 30004 0 aVR
E09063.mat 16x1+24 1000.0(0)/mV 16 0 -24 -14184 0 aVL
E09063.mat 16x1+24 1000.0(0)/mV 16 0 -24 -15421 0 aVF
E09063.mat 16x1+24 1000.0(0)/mV 16 0 0 -11577 0 V1
E09063.mat 16x1+24 1000.0(0)/mV 16 0 -19 -12538 0 V2
E09063.mat 16x1+24 1000.0(0)/mV 16 0 9 -15602 0 V3
E09063.mat 16x1+24 1000.0(0)/mV 16 0 -19 19900 0 V4
E09063.mat 16x1+24 1000.0(0)/mV 16 0 0 -4274 0 V5
E09063.mat 16x1+24 1000.0(0)/mV 16 0 -9 -8158 0 V6
# Age: 79
# Sex: Female
# Dx: 59118001,67741000119109,6374002,284470004,284470004
# Rx: Unknown
# Hx: Unknown