Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(702 bytes)
S0190 12 1000 115200
S0190.mat 16x1+24 1000.0(0)/mv 16 0 394 8087 0 I
S0190.mat 16x1+24 1000.0(0)/mv 16 0 -447 21879 0 II
S0190.mat 16x1+24 1000.0(0)/mv 16 0 -841 660 0 III
S0190.mat 16x1+24 1000.0(0)/mv 16 0 27 -8263 0 aVR
S0190.mat 16x1+24 1000.0(0)/mv 16 0 618 3766 0 aVL
S0190.mat 16x1+24 1000.0(0)/mv 16 0 -644 11527 0 aVF
S0190.mat 16x1+24 1000.0(0)/mv 16 0 683 31468 0 V1
S0190.mat 16x1+24 1000.0(0)/mv 16 0 645 -16733 0 V2
S0190.mat 16x1+24 1000.0(0)/mv 16 0 676 -20683 0 V3
S0190.mat 16x1+24 1000.0(0)/mv 16 0 667 -7698 0 V4
S0190.mat 16x1+24 1000.0(0)/mv 16 0 776 -25429 0 V5
S0190.mat 16x1+24 1000.0(0)/mv 16 0 718 4179 0 V6
# Age: 59
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown