Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(801 bytes)
HR04053 12 500 5000
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 225 -23274 0 I
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 65 24488 0 II
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 -160 -17775 0 III
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 -145 32284 0 aVR
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 192 30119 0 aVL
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 -47 3613 0 aVF
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 -445 -1060 0 V1
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 -215 -12602 0 V2
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 -240 -9154 0 V3
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 140 2097 0 V4
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 5 11830 0 V5
HR04053.mat 16x1+24 1000.0(0)/mv 16 0 260 -4476 0 V6
# Age: 85
# Sex: Male
# Dx: 164861001,164865005,164873001,164884008,426783006,429622005,59931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown