Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(703 bytes)
S0100 12 1000 115200
S0100.mat 16x1+24 1000.0(0)/mv 16 0 -189 5427 0 I
S0100.mat 16x1+24 1000.0(0)/mv 16 0 -139 -21588 0 II
S0100.mat 16x1+24 1000.0(0)/mv 16 0 51 5721 0 III
S0100.mat 16x1+24 1000.0(0)/mv 16 0 165 32201 0 aVR
S0100.mat 16x1+24 1000.0(0)/mv 16 0 -120 17945 0 aVL
S0100.mat 16x1+24 1000.0(0)/mv 16 0 -45 28151 0 aVF
S0100.mat 16x1+24 1000.0(0)/mv 16 0 803 18540 0 V1
S0100.mat 16x1+24 1000.0(0)/mv 16 0 275 26160 0 V2
S0100.mat 16x1+24 1000.0(0)/mv 16 0 130 7695 0 V3
S0100.mat 16x1+24 1000.0(0)/mv 16 0 595 8567 0 V4
S0100.mat 16x1+24 1000.0(0)/mv 16 0 -241 17848 0 V5
S0100.mat 16x1+24 1000.0(0)/mv 16 0 -180 -8956 0 V6
# Age: 60
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown