Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(739 bytes)
E05302 12 500 5000
E05302.mat 16x1+24 1000.0(0)/mV 16 0 9 -5573 0 I
E05302.mat 16x1+24 1000.0(0)/mV 16 0 -107 1205 0 II
E05302.mat 16x1+24 1000.0(0)/mV 16 0 -117 6950 0 III
E05302.mat 16x1+24 1000.0(0)/mV 16 0 48 2122 0 aVR
E05302.mat 16x1+24 1000.0(0)/mV 16 0 63 26503 0 aVL
E05302.mat 16x1+24 1000.0(0)/mV 16 0 -112 -28625 0 aVF
E05302.mat 16x1+24 1000.0(0)/mV 16 0 -43 -5931 0 V1
E05302.mat 16x1+24 1000.0(0)/mV 16 0 185 19350 0 V2
E05302.mat 16x1+24 1000.0(0)/mV 16 0 204 -5275 0 V3
E05302.mat 16x1+24 1000.0(0)/mV 16 0 136 -27684 0 V4
E05302.mat 16x1+24 1000.0(0)/mV 16 0 58 -6812 0 V5
E05302.mat 16x1+24 1000.0(0)/mV 16 0 131 19022 0 V6
# Age: 46
# Sex: Male
# Dx: 428750005,427084000,284470004,284470004
# Rx: Unknown
# Hx: Unknown