Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(727 bytes)
E03312 12 500 5000
E03312.mat 16x1+24 1000.0(0)/mV 16 0 -156 -9921 0 I
E03312.mat 16x1+24 1000.0(0)/mV 16 0 -87 -2606 0 II
E03312.mat 16x1+24 1000.0(0)/mV 16 0 68 7204 0 III
E03312.mat 16x1+24 1000.0(0)/mV 16 0 122 6567 0 aVR
E03312.mat 16x1+24 1000.0(0)/mV 16 0 -112 24120 0 aVL
E03312.mat 16x1+24 1000.0(0)/mV 16 0 -9 -30071 0 aVF
E03312.mat 16x1+24 1000.0(0)/mV 16 0 0 30155 0 V1
E03312.mat 16x1+24 1000.0(0)/mV 16 0 253 11843 0 V2
E03312.mat 16x1+24 1000.0(0)/mV 16 0 0 -15304 0 V3
E03312.mat 16x1+24 1000.0(0)/mV 16 0 39 -13066 0 V4
E03312.mat 16x1+24 1000.0(0)/mV 16 0 -58 -26452 0 V5
E03312.mat 16x1+24 1000.0(0)/mV 16 0 -58 -4520 0 V6
# Age: 55
# Sex: Male
# Dx: 59118001,164889003,59931005
# Rx: Unknown
# Hx: Unknown