Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(753 bytes)
HR03654 12 500 5000
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 -80 12861 0 I
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 85 20443 0 II
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 165 7607 0 III
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 -3 -16464 0 aVR
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 -123 2749 0 aVL
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 125 14190 0 aVF
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 10 21582 0 V1
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 10 29816 0 V2
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 -115 -10896 0 V3
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 30 6620 0 V4
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 35 25114 0 V5
HR03654.mat 16x1+24 1000.0(0)/mv 16 0 80 25827 0 V6
# Age: 55
# Sex: Female
# Dx: 164889003,47665007,55930002
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown