Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(714 bytes)
E09093 12 500 5000
E09093.mat 16x1+24 1000.0(0)/mV 16 0 -204 -24173 0 I
E09093.mat 16x1+24 1000.0(0)/mV 16 0 -214 20393 0 II
E09093.mat 16x1+24 1000.0(0)/mV 16 0 -9 -20792 0 III
E09093.mat 16x1+24 1000.0(0)/mV 16 0 209 -30913 0 aVR
E09093.mat 16x1+24 1000.0(0)/mV 16 0 -97 31084 0 aVL
E09093.mat 16x1+24 1000.0(0)/mV 16 0 -112 -158 0 aVF
E09093.mat 16x1+24 1000.0(0)/mV 16 0 146 -23702 0 V1
E09093.mat 16x1+24 1000.0(0)/mV 16 0 136 -22543 0 V2
E09093.mat 16x1+24 1000.0(0)/mV 16 0 156 -1184 0 V3
E09093.mat 16x1+24 1000.0(0)/mV 16 0 78 -17192 0 V4
E09093.mat 16x1+24 1000.0(0)/mV 16 0 97 49 0 V5
E09093.mat 16x1+24 1000.0(0)/mV 16 0 29 5683 0 V6
# Age: 65
# Sex: Female
# Dx: 251146004
# Rx: Unknown
# Hx: Unknown