Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(702 bytes)
E05015 12 500 5000
E05015.mat 16x1+24 1000.0(0)/mV 16 0 -29 -18204 0 I
E05015.mat 16x1+24 1000.0(0)/mV 16 0 -9 -163 0 II
E05015.mat 16x1+24 1000.0(0)/mV 16 0 19 17794 0 III
E05015.mat 16x1+24 1000.0(0)/mV 16 0 19 9048 0 aVR
E05015.mat 16x1+24 1000.0(0)/mV 16 0 -24 -18035 0 aVL
E05015.mat 16x1+24 1000.0(0)/mV 16 0 4 8620 0 aVF
E05015.mat 16x1+24 1000.0(0)/mV 16 0 156 19623 0 V1
E05015.mat 16x1+24 1000.0(0)/mV 16 0 9 3319 0 V2
E05015.mat 16x1+24 1000.0(0)/mV 16 0 0 -6453 0 V3
E05015.mat 16x1+24 1000.0(0)/mV 16 0 0 -18233 0 V4
E05015.mat 16x1+24 1000.0(0)/mV 16 0 -195 -1241 0 V5
E05015.mat 16x1+24 1000.0(0)/mV 16 0 -48 -22182 0 V6
# Age: 76
# Sex: Male
# Dx: 427084000
# Rx: Unknown
# Hx: Unknown