Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
E00433 12 500 5000
E00433.mat 16x1+24 1000.0(0)/mV 16 0 87 -17508 0 I
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -175 -20887 0 II
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -263 -3716 0 III
E00433.mat 16x1+24 1000.0(0)/mV 16 0 43 -14148 0 aVR
E00433.mat 16x1+24 1000.0(0)/mV 16 0 175 -6843 0 aVL
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -219 20115 0 aVF
E00433.mat 16x1+24 1000.0(0)/mV 16 0 9 23902 0 V1
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -126 17563 0 V2
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -107 24581 0 V3
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -136 16874 0 V4
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -117 -11588 0 V5
E00433.mat 16x1+24 1000.0(0)/mV 16 0 -97 32205 0 V6
# Age: 32
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown