Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(765 bytes)
E00030 12 500 5000
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -19 -14052 0 I
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -19 -20807 0 II
E00030.mat 16x1+24 1000.0(0)/mV 16 0 0 -7261 0 III
E00030.mat 16x1+24 1000.0(0)/mV 16 0 19 -15361 0 aVR
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -9 29391 0 aVL
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -9 -14034 0 aVF
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -19 -26824 0 V1
E00030.mat 16x1+24 1000.0(0)/mV 16 0 9 28759 0 V2
E00030.mat 16x1+24 1000.0(0)/mV 16 0 39 -20551 0 V3
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -29 -9770 0 V4
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -39 -1995 0 V5
E00030.mat 16x1+24 1000.0(0)/mV 16 0 -9 -29292 0 V6
# Age: 61
# Sex: Male
# Dx: 164873001,67741000119109,266249003,111975006,284470004,284470004
# Rx: Unknown
# Hx: Unknown