Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(778 bytes)
HR19453 12 500 5000
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 325 25386 0 I
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -230 -16784 0 II
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -555 23368 0 III
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -47 28617 0 aVR
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 440 -31313 0 aVL
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -392 3307 0 aVF
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -235 -21610 0 V1
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -390 7566 0 V2
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -515 23781 0 V3
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -505 -17359 0 V4
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 -260 -18439 0 V5
HR19453.mat 16x1+24 1000.0(0)/mv 16 0 200 3802 0 V6
# Age: 53
# Sex: Male
# Dx: 164909002,164951009,39732003,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown