Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
E07502 12 500 5000
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -102 -20244 0 I
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -126 -24706 0 II
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -24 -4327 0 III
E07502.mat 16x1+24 1000.0(0)/mV 16 0 114 22505 0 aVR
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -39 24723 0 aVL
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -75 18269 0 aVF
E07502.mat 16x1+24 1000.0(0)/mV 16 0 214 -12473 0 V1
E07502.mat 16x1+24 1000.0(0)/mV 16 0 117 15732 0 V2
E07502.mat 16x1+24 1000.0(0)/mV 16 0 131 -29173 0 V3
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -112 3832 0 V4
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -185 2087 0 V5
E07502.mat 16x1+24 1000.0(0)/mV 16 0 -146 28993 0 V6
# Age: 65
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown