Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(708 bytes)
E06901 12 500 5000
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -63 -2476 0 I
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -82 -10914 0 II
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -19 -9021 0 III
E06901.mat 16x1+24 1000.0(0)/mV 16 0 73 6612 0 aVR
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -21 3854 0 aVL
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -51 -9378 0 aVF
E06901.mat 16x1+24 1000.0(0)/mV 16 0 87 -11796 0 V1
E06901.mat 16x1+24 1000.0(0)/mV 16 0 48 5262 0 V2
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -24 -6258 0 V3
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -68 -6810 0 V4
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -63 -8764 0 V5
E06901.mat 16x1+24 1000.0(0)/mV 16 0 -63 -5496 0 V6
# Age: 72
# Sex: Male
# Dx: 164934002
# Rx: Unknown
# Hx: Unknown