Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(702 bytes)
S0044 12 1000 115200
S0044.mat 16x1+24 1000.0(0)/mv 16 0 14 15724 0 I
S0044.mat 16x1+24 1000.0(0)/mv 16 0 1051 19521 0 II
S0044.mat 16x1+24 1000.0(0)/mv 16 0 1037 -7588 0 III
S0044.mat 16x1+24 1000.0(0)/mv 16 0 -532 8298 0 aVR
S0044.mat 16x1+24 1000.0(0)/mv 16 0 -512 -6445 0 aVL
S0044.mat 16x1+24 1000.0(0)/mv 16 0 1044 5833 0 aVF
S0044.mat 16x1+24 1000.0(0)/mv 16 0 432 16342 0 V1
S0044.mat 16x1+24 1000.0(0)/mv 16 0 144 -22369 0 V2
S0044.mat 16x1+24 1000.0(0)/mv 16 0 37 18174 0 V3
S0044.mat 16x1+24 1000.0(0)/mv 16 0 56 2650 0 V4
S0044.mat 16x1+24 1000.0(0)/mv 16 0 -68 666 0 V5
S0044.mat 16x1+24 1000.0(0)/mv 16 0 -154 -10688 0 V6
# Age: 63
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown