Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(679 bytes)
A1600 12 500 5000
A1600.mat 16x1+24 1000.0(0)/mV 16 0 -11 -11 0 I
A1600.mat 16x1+24 1000.0(0)/mV 16 0 -24 18 0 II
A1600.mat 16x1+24 1000.0(0)/mV 16 0 -13 -12 0 III
A1600.mat 16x1+24 1000.0(0)/mV 16 0 18 23 0 aVR
A1600.mat 16x1+24 1000.0(0)/mV 16 0 1 -7 0 aVL
A1600.mat 16x1+24 1000.0(0)/mV 16 0 -19 22 0 aVF
A1600.mat 16x1+24 1000.0(0)/mV 16 0 1 -49 0 V1
A1600.mat 16x1+24 1000.0(0)/mV 16 0 43 -41 0 V2
A1600.mat 16x1+24 1000.0(0)/mV 16 0 -56 -143 0 V3
A1600.mat 16x1+24 1000.0(0)/mV 16 0 -78 -30 0 V4
A1600.mat 16x1+24 1000.0(0)/mV 16 0 51 -32 0 V5
A1600.mat 16x1+24 1000.0(0)/mV 16 0 -49 -40 0 V6
# Age: 54
# Sex: Male
# Dx: 164931005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown