Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(743 bytes)
HR19894 12 500 5000
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -40 -21294 0 I
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -25 21551 0 II
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 15 -22683 0 III
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 32 -32708 0 aVR
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -27 -31613 0 aVL
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -5 -330 0 aVF
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 50 29505 0 V1
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 0 9341 0 V2
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -60 299 0 V3
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -45 -16301 0 V4
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -70 8670 0 V5
HR19894.mat 16x1+24 1000.0(0)/mv 16 0 -30 -1478 0 V6
# Age: 48
# Sex: Male
# Dx: 164934002,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown