Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(738 bytes)
E03325 12 500 5000
E03325.mat 16x1+24 1000.0(0)/mV 16 0 0 -7883 0 I
E03325.mat 16x1+24 1000.0(0)/mV 16 0 0 30900 0 II
E03325.mat 16x1+24 1000.0(0)/mV 16 0 0 -26733 0 III
E03325.mat 16x1+24 1000.0(0)/mV 16 0 0 21232 0 aVR
E03325.mat 16x1+24 1000.0(0)/mV 16 0 0 9493 0 aVL
E03325.mat 16x1+24 1000.0(0)/mV 16 0 0 -30603 0 aVF
E03325.mat 16x1+24 1000.0(0)/mV 16 0 136 -22006 0 V1
E03325.mat 16x1+24 1000.0(0)/mV 16 0 -117 -10708 0 V2
E03325.mat 16x1+24 1000.0(0)/mV 16 0 -165 2484 0 V3
E03325.mat 16x1+24 1000.0(0)/mV 16 0 -224 -29815 0 V4
E03325.mat 16x1+24 1000.0(0)/mV 16 0 -204 -26059 0 V5
E03325.mat 16x1+24 1000.0(0)/mV 16 0 -107 32103 0 V6
# Age: 65
# Sex: Male
# Dx: 427084000,59931005,164934002,111975006
# Rx: Unknown
# Hx: Unknown