Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(769 bytes)
HR19865 12 500 5000
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -95 31847 0 I
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -45 -28430 0 II
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 50 5267 0 III
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 70 30582 0 aVR
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -72 -19237 0 aVL
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 2 -11570 0 aVF
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 15 -5480 0 V1
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -65 -19360 0 V2
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -40 -24879 0 V3
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -40 20554 0 V4
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -120 28408 0 V5
HR19865.mat 16x1+24 1000.0(0)/mv 16 0 -85 -29153 0 V6
# Age: 45
# Sex: Male
# Dx: 164873001,39732003,426783006,713426002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown