Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(753 bytes)
HR01535 12 500 5000
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -190 4580 0 I
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -135 -2425 0 II
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 55 -7002 0 III
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 162 -1422 0 aVR
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -122 6194 0 aVL
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -40 -4694 0 aVF
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -65 5049 0 V1
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -200 24193 0 V2
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -200 -30412 0 V3
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -155 22440 0 V4
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -165 -9451 0 V5
HR01535.mat 16x1+24 1000.0(0)/mv 16 0 -140 2477 0 V6
# Age: 42
# Sex: Male
# Dx: 164873001,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown