Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(705 bytes)
S0065 12 1000 115200
S0065.mat 16x1+24 1000.0(0)/mv 16 0 -208 -6264 0 I
S0065.mat 16x1+24 1000.0(0)/mv 16 0 -199 -27650 0 II
S0065.mat 16x1+24 1000.0(0)/mv 16 0 10 6515 0 III
S0065.mat 16x1+24 1000.0(0)/mv 16 0 203 -10160 0 aVR
S0065.mat 16x1+24 1000.0(0)/mv 16 0 -109 -6921 0 aVL
S0065.mat 16x1+24 1000.0(0)/mv 16 0 -94 -9323 0 aVF
S0065.mat 16x1+24 1000.0(0)/mv 16 0 103 -16822 0 V1
S0065.mat 16x1+24 1000.0(0)/mv 16 0 106 -29065 0 V2
S0065.mat 16x1+24 1000.0(0)/mv 16 0 183 -7871 0 V3
S0065.mat 16x1+24 1000.0(0)/mv 16 0 206 -563 0 V4
S0065.mat 16x1+24 1000.0(0)/mv 16 0 234 9813 0 V5
S0065.mat 16x1+24 1000.0(0)/mv 16 0 256 28654 0 V6
# Age: 69
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown