Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(733 bytes)
E05159 12 500 5000
E05159.mat 16x1+24 1000.0(0)/mV 16 0 351 14121 0 I
E05159.mat 16x1+24 1000.0(0)/mV 16 0 117 31748 0 II
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -234 17665 0 III
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -234 -22911 0 aVR
E05159.mat 16x1+24 1000.0(0)/mV 16 0 292 31491 0 aVL
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -58 -7810 0 aVF
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -790 -12271 0 V1
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -1298 -7300 0 V2
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -751 -27484 0 V3
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -429 -12675 0 V4
E05159.mat 16x1+24 1000.0(0)/mV 16 0 -165 -10077 0 V5
E05159.mat 16x1+24 1000.0(0)/mV 16 0 0 27770 0 V6
# Age: 72
# Sex: Female
# Dx: 17338001,59931005
# Rx: Unknown
# Hx: Unknown