Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(706 bytes)
S0099 12 1000 115200
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -57 -27138 0 I
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -311 -16626 0 II
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -253 631 0 III
S0099.mat 16x1+24 1000.0(0)/mv 16 0 184 12411 0 aVR
S0099.mat 16x1+24 1000.0(0)/mv 16 0 98 -12381 0 aVL
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -282 -8472 0 aVF
S0099.mat 16x1+24 1000.0(0)/mv 16 0 121 567 0 V1
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -53 3684 0 V2
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -92 32436 0 V3
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -207 -12713 0 V4
S0099.mat 16x1+24 1000.0(0)/mv 16 0 -111 -17325 0 V5
S0099.mat 16x1+24 1000.0(0)/mv 16 0 301 -8883 0 V6
# Age: 60
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown