Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(711 bytes)
S0112 12 1000 115200
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -752 -6187 0 I
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -829 14219 0 II
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -77 20169 0 III
S0112.mat 16x1+24 1000.0(0)/mv 16 0 791 25832 0 aVR
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -337 2983 0 aVL
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -453 -11352 0 aVF
S0112.mat 16x1+24 1000.0(0)/mv 16 0 424 11287 0 V1
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -566 6243 0 V2
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -533 -10726 0 V3
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -796 -19604 0 V4
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -563 3440 0 V5
S0112.mat 16x1+24 1000.0(0)/mv 16 0 -373 22701 0 V6
# Age: 75
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown