Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
S0149 12 1000 115200
S0149.mat 16x1+24 1000.0(0)/mv 16 0 -1153 12175 0 I
S0149.mat 16x1+24 1000.0(0)/mv 16 0 -23 -17006 0 II
S0149.mat 16x1+24 1000.0(0)/mv 16 0 1130 16397 0 III
S0149.mat 16x1+24 1000.0(0)/mv 16 0 588 9348 0 aVR
S0149.mat 16x1+24 1000.0(0)/mv 16 0 -1142 16997 0 aVL
S0149.mat 16x1+24 1000.0(0)/mv 16 0 553 -31454 0 aVF
S0149.mat 16x1+24 1000.0(0)/mv 16 0 -145 -3599 0 V1
S0149.mat 16x1+24 1000.0(0)/mv 16 0 130 -18009 0 V2
S0149.mat 16x1+24 1000.0(0)/mv 16 0 -633 248 0 V3
S0149.mat 16x1+24 1000.0(0)/mv 16 0 252 -20039 0 V4
S0149.mat 16x1+24 1000.0(0)/mv 16 0 105 -13604 0 V5
S0149.mat 16x1+24 1000.0(0)/mv 16 0 -1132 -30910 0 V6
# Age: 86
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown