Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(733 bytes)
E09660 12 500 5000
E09660.mat 16x1+24 1000.0(0)/mV 16 0 92 8172 0 I
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -39 14227 0 II
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -131 6146 0 III
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -26 21631 0 aVR
E09660.mat 16x1+24 1000.0(0)/mV 16 0 112 947 0 aVL
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -85 -22498 0 aVF
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -39 -16789 0 V1
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -502 -27381 0 V2
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -92 15032 0 V3
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -68 -20918 0 V4
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6933 0 V5
E09660.mat 16x1+24 1000.0(0)/mV 16 0 -78 27462 0 V6
# Age: 74
# Sex: Male
# Dx: 164934002,111975006,164873001
# Rx: Unknown
# Hx: Unknown