Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(723 bytes)
E02209 12 500 5000
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -29 -17057 0 I
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -29 -15179 0 II
E02209.mat 16x1+24 1000.0(0)/mV 16 0 0 1433 0 III
E02209.mat 16x1+24 1000.0(0)/mV 16 0 29 16265 0 aVR
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -14 -9181 0 aVL
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -14 -6864 0 aVF
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -29 -11346 0 V1
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -107 -19204 0 V2
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -78 -4488 0 V3
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -117 10105 0 V4
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -126 23073 0 V5
E02209.mat 16x1+24 1000.0(0)/mV 16 0 -68 1243 0 V6
# Age: 44
# Sex: Male
# Dx: 59118001,425419005
# Rx: Unknown
# Hx: Unknown