Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E00093 12 500 5000
E00093.mat 16x1+24 1000.0(0)/mV 16 0 -78 18796 0 I
E00093.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26672 0 II
E00093.mat 16x1+24 1000.0(0)/mV 16 0 58 19195 0 III
E00093.mat 16x1+24 1000.0(0)/mV 16 0 48 -28982 0 aVR
E00093.mat 16x1+24 1000.0(0)/mV 16 0 -68 -238 0 aVL
E00093.mat 16x1+24 1000.0(0)/mV 16 0 19 28597 0 aVF
E00093.mat 16x1+24 1000.0(0)/mV 16 0 214 31370 0 V1
E00093.mat 16x1+24 1000.0(0)/mV 16 0 68 12401 0 V2
E00093.mat 16x1+24 1000.0(0)/mV 16 0 -9 -4314 0 V3
E00093.mat 16x1+24 1000.0(0)/mV 16 0 -19 5424 0 V4
E00093.mat 16x1+24 1000.0(0)/mV 16 0 -48 13135 0 V5
E00093.mat 16x1+24 1000.0(0)/mV 16 0 -156 21166 0 V6
# Age: 65
# Sex: Female
# Dx: 425419005,164934002,164873001
# Rx: Unknown
# Hx: Unknown