Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(758 bytes)
HR04883 12 500 5000
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -235 -2314 0 I
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -175 -5168 0 II
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 60 -2839 0 III
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 205 3711 0 aVR
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -147 344 0 aVL
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -57 -3978 0 aVF
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -1215 -23242 0 V1
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -1830 -6883 0 V2
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -770 23951 0 V3
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -860 5360 0 V4
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -1005 -1368 0 V5
HR04883.mat 16x1+24 1000.0(0)/mv 16 0 -1140 -1186 0 V6
# Age: 60
# Sex: Male
# Dx: 164934002,426783006
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown