Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(706 bytes)
E00385 12 500 5000
E00385.mat 16x1+24 1000.0(0)/mV 16 0 24 -35 0 I
E00385.mat 16x1+24 1000.0(0)/mV 16 0 9 29410 0 II
E00385.mat 16x1+24 1000.0(0)/mV 16 0 -14 29610 0 III
E00385.mat 16x1+24 1000.0(0)/mV 16 0 -17 18238 0 aVR
E00385.mat 16x1+24 1000.0(0)/mV 16 0 19 17938 0 aVL
E00385.mat 16x1+24 1000.0(0)/mV 16 0 -2 29515 0 aVF
E00385.mat 16x1+24 1000.0(0)/mV 16 0 732 21370 0 V1
E00385.mat 16x1+24 1000.0(0)/mV 16 0 -19 -29790 0 V2
E00385.mat 16x1+24 1000.0(0)/mV 16 0 258 31994 0 V3
E00385.mat 16x1+24 1000.0(0)/mV 16 0 185 -18924 0 V4
E00385.mat 16x1+24 1000.0(0)/mV 16 0 102 27332 0 V5
E00385.mat 16x1+24 1000.0(0)/mV 16 0 68 14072 0 V6
# Age: 59
# Sex: Male
# Dx: 253352002
# Rx: Unknown
# Hx: Unknown