Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(729 bytes)
E00179 12 500 5000
E00179.mat 16x1+24 1000.0(0)/mV 16 0 -39 16423 0 I
E00179.mat 16x1+24 1000.0(0)/mV 16 0 -200 -29984 0 II
E00179.mat 16x1+24 1000.0(0)/mV 16 0 -161 18924 0 III
E00179.mat 16x1+24 1000.0(0)/mV 16 0 119 -26075 0 aVR
E00179.mat 16x1+24 1000.0(0)/mV 16 0 61 -1323 0 aVL
E00179.mat 16x1+24 1000.0(0)/mV 16 0 -180 27247 0 aVF
E00179.mat 16x1+24 1000.0(0)/mV 16 0 29 20848 0 V1
E00179.mat 16x1+24 1000.0(0)/mV 16 0 -19 -16853 0 V2
E00179.mat 16x1+24 1000.0(0)/mV 16 0 43 12715 0 V3
E00179.mat 16x1+24 1000.0(0)/mV 16 0 68 -24365 0 V4
E00179.mat 16x1+24 1000.0(0)/mV 16 0 92 18582 0 V5
E00179.mat 16x1+24 1000.0(0)/mV 16 0 102 31281 0 V6
# Age: 58
# Sex: Male
# Dx: 67741000119109,427084000
# Rx: Unknown
# Hx: Unknown