Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(762 bytes)
E01138 12 500 5000
E01138.mat 16x1+24 1000.0(0)/mV 16 0 87 -10092 0 I
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -58 -19973 0 II
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -146 -9726 0 III
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -14 15173 0 aVR
E01138.mat 16x1+24 1000.0(0)/mV 16 0 117 -118 0 aVL
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -102 -14889 0 aVF
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -19 -5726 0 V1
E01138.mat 16x1+24 1000.0(0)/mV 16 0 165 -27798 0 V2
E01138.mat 16x1+24 1000.0(0)/mV 16 0 234 24633 0 V3
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -1346 -11709 0 V4
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -341 -18542 0 V5
E01138.mat 16x1+24 1000.0(0)/mV 16 0 -29 -30129 0 V6
# Age: 68
# Sex: Male
# Dx: 270492004,427084000,425623009,164934002,251266004
# Rx: Unknown
# Hx: Unknown