Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(706 bytes)
S0543 12 1000 120012
S0543.mat 16x1+24 1000.0(0)/mv 16 0 529 25032 0 I
S0543.mat 16x1+24 1000.0(0)/mv 16 0 -73 -497 0 II
S0543.mat 16x1+24 1000.0(0)/mv 16 0 -602 24207 0 III
S0543.mat 16x1+24 1000.0(0)/mv 16 0 -228 656 0 aVR
S0543.mat 16x1+24 1000.0(0)/mv 16 0 566 -673 0 aVL
S0543.mat 16x1+24 1000.0(0)/mv 16 0 -338 4191 0 aVF
S0543.mat 16x1+24 1000.0(0)/mv 16 0 591 -13634 0 V1
S0543.mat 16x1+24 1000.0(0)/mv 16 0 -221 -22443 0 V2
S0543.mat 16x1+24 1000.0(0)/mv 16 0 550 3455 0 V3
S0543.mat 16x1+24 1000.0(0)/mv 16 0 1028 -22987 0 V4
S0543.mat 16x1+24 1000.0(0)/mv 16 0 606 -22375 0 V5
S0543.mat 16x1+24 1000.0(0)/mv 16 0 429 -24589 0 V6
# Age: 60
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown