Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(672 bytes)
A0060 12 500 5703
A0060.mat 16x1+24 1000.0(0)/mV 16 0 -79 -19 0 I
A0060.mat 16x1+24 1000.0(0)/mV 16 0 -53 -11 0 II
A0060.mat 16x1+24 1000.0(0)/mV 16 0 26 11 0 III
A0060.mat 16x1+24 1000.0(0)/mV 16 0 66 5 0 aVR
A0060.mat 16x1+24 1000.0(0)/mV 16 0 -52 -39 0 aVL
A0060.mat 16x1+24 1000.0(0)/mV 16 0 -13 41 0 aVF
A0060.mat 16x1+24 1000.0(0)/mV 16 0 43 18 0 V1
A0060.mat 16x1+24 1000.0(0)/mV 16 0 26 -2 0 V2
A0060.mat 16x1+24 1000.0(0)/mV 16 0 48 7 0 V3
A0060.mat 16x1+24 1000.0(0)/mV 16 0 -11 49 0 V4
A0060.mat 16x1+24 1000.0(0)/mV 16 0 -6 22 0 V5
A0060.mat 16x1+24 1000.0(0)/mV 16 0 -37 14 0 V6
# Age: 64
# Sex: Male
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown