Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(734 bytes)
E01714 12 500 5000
E01714.mat 16x1+24 1000.0(0)/mV 16 0 0 -6079 0 I
E01714.mat 16x1+24 1000.0(0)/mV 16 0 97 -3575 0 II
E01714.mat 16x1+24 1000.0(0)/mV 16 0 97 3013 0 III
E01714.mat 16x1+24 1000.0(0)/mV 16 0 -48 -27896 0 aVR
E01714.mat 16x1+24 1000.0(0)/mV 16 0 -48 28065 0 aVL
E01714.mat 16x1+24 1000.0(0)/mV 16 0 97 -297 0 aVF
E01714.mat 16x1+24 1000.0(0)/mV 16 0 -48 21639 0 V1
E01714.mat 16x1+24 1000.0(0)/mV 16 0 19 305 0 V2
E01714.mat 16x1+24 1000.0(0)/mV 16 0 68 5098 0 V3
E01714.mat 16x1+24 1000.0(0)/mV 16 0 9 -23936 0 V4
E01714.mat 16x1+24 1000.0(0)/mV 16 0 -9 -2653 0 V5
E01714.mat 16x1+24 1000.0(0)/mV 16 0 -48 -32108 0 V6
# Age: 68
# Sex: Male
# Dx: 713426002,67741000119109,427084000,59931005
# Rx: Unknown
# Hx: Unknown