Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(706 bytes)
S0375 12 1000 38400
S0375.mat 16x1+24 1000.0(0)/mv 16 0 -63 -339 0 I
S0375.mat 16x1+24 1000.0(0)/mv 16 0 -418 7321 0 II
S0375.mat 16x1+24 1000.0(0)/mv 16 0 -355 15803 0 III
S0375.mat 16x1+24 1000.0(0)/mv 16 0 240 -3511 0 aVR
S0375.mat 16x1+24 1000.0(0)/mv 16 0 147 3100 0 aVL
S0375.mat 16x1+24 1000.0(0)/mv 16 0 -387 -7973 0 aVF
S0375.mat 16x1+24 1000.0(0)/mv 16 0 114 1406 0 V1
S0375.mat 16x1+24 1000.0(0)/mv 16 0 193 -7838 0 V2
S0375.mat 16x1+24 1000.0(0)/mv 16 0 310 7751 0 V3
S0375.mat 16x1+24 1000.0(0)/mv 16 0 211 7587 0 V4
S0375.mat 16x1+24 1000.0(0)/mv 16 0 254 5359 0 V5
S0375.mat 16x1+24 1000.0(0)/mv 16 0 170 -1554 0 V6
# Age: 55
# Sex: Male
# Dx: 53741008,164865005
# Rx: Unknown
# Hx: Unknown