Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(756 bytes)
HR19294 12 500 5000
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 -95 -3849 0 I
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 -15 -13691 0 II
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 80 -9842 0 III
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 55 -24496 0 aVR
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 -87 -29932 0 aVL
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 32 -12029 0 aVF
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 20 -32520 0 V1
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 70 23 0 V2
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 65 30703 0 V3
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 -25 6835 0 V4
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 -65 -24580 0 V5
HR19294.mat 16x1+24 1000.0(0)/mv 16 0 -120 21951 0 V6
# Age: 67
# Sex: Female
# Dx: 39732003,427393009,55930002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown