Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(730 bytes)
E01503 12 500 5000
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -161 11081 0 I
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -141 -4945 0 II
E01503.mat 16x1+24 1000.0(0)/mV 16 0 19 -16458 0 III
E01503.mat 16x1+24 1000.0(0)/mV 16 0 151 29458 0 aVR
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -90 13706 0 aVL
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -61 22004 0 aVF
E01503.mat 16x1+24 1000.0(0)/mV 16 0 112 -19483 0 V1
E01503.mat 16x1+24 1000.0(0)/mV 16 0 136 24147 0 V2
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -24 -28276 0 V3
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -170 -18743 0 V4
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -58 -28251 0 V5
E01503.mat 16x1+24 1000.0(0)/mV 16 0 -43 21782 0 V6
# Age: 59
# Sex: Female
# Dx: 164889003,59931005
# Rx: Unknown
# Hx: Unknown