Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(695 bytes)
A6282 12 500 8500
A6282.mat 16x1+24 1000.0(0)/mV 16 0 15 -3649 0 I
A6282.mat 16x1+24 1000.0(0)/mV 16 0 11 -531 0 II
A6282.mat 16x1+24 1000.0(0)/mV 16 0 -4 3118 0 III
A6282.mat 16x1+24 1000.0(0)/mV 16 0 -14 -3106 0 aVR
A6282.mat 16x1+24 1000.0(0)/mV 16 0 9 1308 0 aVL
A6282.mat 16x1+24 1000.0(0)/mV 16 0 3 2571 0 aVF
A6282.mat 16x1+24 1000.0(0)/mV 16 0 43 -685 0 V1
A6282.mat 16x1+24 1000.0(0)/mV 16 0 4 -3682 0 V2
A6282.mat 16x1+24 1000.0(0)/mV 16 0 -54 2174 0 V3
A6282.mat 16x1+24 1000.0(0)/mV 16 0 -77 2748 0 V4
A6282.mat 16x1+24 1000.0(0)/mV 16 0 -64 -787 0 V5
A6282.mat 16x1+24 1000.0(0)/mV 16 0 -40 -2419 0 V6
# Age: 70
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown