Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(751 bytes)
HR09110 12 500 5000
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -40 -25722 0 I
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -35 -28680 0 II
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 5 -2983 0 III
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 37 27060 0 aVR
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -22 -10771 0 aVL
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -15 -15705 0 aVF
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -400 12238 0 V1
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -360 -23153 0 V2
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 70 16941 0 V3
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -45 -2568 0 V4
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 35 -3468 0 V5
HR09110.mat 16x1+24 1000.0(0)/mv 16 0 -105 3091 0 V6
# Age: 78
# Sex: Male
# Dx: 164873001,164909002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown