Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(726 bytes)
E05513 12 500 5000
E05513.mat 16x1+24 1000.0(0)/mV 16 0 -97 22234 0 I
E05513.mat 16x1+24 1000.0(0)/mV 16 0 -39 -14428 0 II
E05513.mat 16x1+24 1000.0(0)/mV 16 0 58 28758 0 III
E05513.mat 16x1+24 1000.0(0)/mV 16 0 68 28665 0 aVR
E05513.mat 16x1+24 1000.0(0)/mV 16 0 -78 29494 0 aVL
E05513.mat 16x1+24 1000.0(0)/mV 16 0 9 6973 0 aVF
E05513.mat 16x1+24 1000.0(0)/mV 16 0 244 -24830 0 V1
E05513.mat 16x1+24 1000.0(0)/mV 16 0 253 -15871 0 V2
E05513.mat 16x1+24 1000.0(0)/mV 16 0 185 10839 0 V3
E05513.mat 16x1+24 1000.0(0)/mV 16 0 224 1032 0 V4
E05513.mat 16x1+24 1000.0(0)/mV 16 0 97 -30658 0 V5
E05513.mat 16x1+24 1000.0(0)/mV 16 0 19 -21994 0 V6
# Age: 84
# Sex: Male
# Dx: 164909002,6374002,39732003
# Rx: Unknown
# Hx: Unknown