Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(684 bytes)
A0058 12 500 23050
A0058.mat 16x1+24 1000.0(0)/mV 16 0 63 -14 0 I
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -88 8 0 II
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -151 7 0 III
A0058.mat 16x1+24 1000.0(0)/mV 16 0 13 -61 0 aVR
A0058.mat 16x1+24 1000.0(0)/mV 16 0 107 -115 0 aVL
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -120 21 0 aVF
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -49 -26 0 V1
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -218 28 0 V2
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -363 2 0 V3
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -221 1 0 V4
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -193 4 0 V5
A0058.mat 16x1+24 1000.0(0)/mV 16 0 -211 -23 0 V6
# Age: 78
# Sex: Male
# Dx: 164931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown