Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(777 bytes)
HR19494 12 500 5000
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 75 3669 0 I
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 0 -22349 0 II
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 -75 -26045 0 III
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 -37 9356 0 aVR
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 75 15014 0 aVL
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 -37 -24174 0 aVF
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 -180 -22814 0 V1
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 -150 5835 0 V2
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 -80 -28842 0 V3
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 40 -25124 0 V4
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 65 -18782 0 V5
HR19494.mat 16x1+24 1000.0(0)/mv 16 0 10 -3024 0 V6
# Age: 79
# Sex: Male
# Dx: 164865005,164951009,39732003,426783006,713427006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown