Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(711 bytes)
E01349 12 500 5000
E01349.mat 16x1+24 1000.0(0)/mV 16 0 4 15146 0 I
E01349.mat 16x1+24 1000.0(0)/mV 16 0 29 4623 0 II
E01349.mat 16x1+24 1000.0(0)/mV 16 0 24 -10468 0 III
E01349.mat 16x1+24 1000.0(0)/mV 16 0 -17 -9888 0 aVR
E01349.mat 16x1+24 1000.0(0)/mV 16 0 -9 13238 0 aVL
E01349.mat 16x1+24 1000.0(0)/mV 16 0 26 -2634 0 aVF
E01349.mat 16x1+24 1000.0(0)/mV 16 0 82 -24193 0 V1
E01349.mat 16x1+24 1000.0(0)/mV 16 0 39 -24476 0 V2
E01349.mat 16x1+24 1000.0(0)/mV 16 0 14 -12156 0 V3
E01349.mat 16x1+24 1000.0(0)/mV 16 0 9 -9064 0 V4
E01349.mat 16x1+24 1000.0(0)/mV 16 0 4 -21076 0 V5
E01349.mat 16x1+24 1000.0(0)/mV 16 0 -24 500 0 V6
# Age: 65
# Sex: Male
# Dx: 698252002,428750005
# Rx: Unknown
# Hx: Unknown