Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(761 bytes)
HR05991 12 500 5000
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 40 6633 0 I
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 100 29782 0 II
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 60 23159 0 III
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 -70 -18736 0 aVR
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 -10 -8379 0 aVL
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 80 26165 0 aVF
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 125 -17993 0 V1
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 -925 -858 0 V2
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 1615 -3665 0 V3
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 1535 -29830 0 V4
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 555 -16151 0 V5
HR05991.mat 16x1+24 1000.0(0)/mv 16 0 155 -30528 0 V6
# Age: 66
# Sex: Male
# Dx: 39732003,426783006,445118002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown