Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(715 bytes)
S0095 12 1000 115200
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -136 -24834 0 I
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -157 -30440 0 II
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -21 31978 0 III
S0095.mat 16x1+24 1000.0(0)/mv 16 0 146 28895 0 aVR
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -58 -25894 0 aVL
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -89 -28032 0 aVF
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -416 -19385 0 V1
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -443 -8187 0 V2
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -564 20900 0 V3
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -491 23544 0 V4
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -262 30060 0 V5
S0095.mat 16x1+24 1000.0(0)/mv 16 0 -134 15043 0 V6
# Age: 49
# Sex: Male
# Dx: 164865005
# Rx: Unknown
# Hx: Unknown