Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(677 bytes)
A3436 12 500 5000
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -2 -16 0 I
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -79 5 0 II
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -77 -15 0 III
A3436.mat 16x1+24 1000.0(0)/mV 16 0 41 18 0 aVR
A3436.mat 16x1+24 1000.0(0)/mV 16 0 37 -23 0 aVL
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -79 16 0 aVF
A3436.mat 16x1+24 1000.0(0)/mV 16 0 48 -8 0 V1
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -27 -50 0 V2
A3436.mat 16x1+24 1000.0(0)/mV 16 0 6 -38 0 V3
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -59 -92 0 V4
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -15 -49 0 V5
A3436.mat 16x1+24 1000.0(0)/mV 16 0 -57 -18 0 V6
# Age: 60
# Sex: Male
# Dx: 59118001
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown