Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(672 bytes)
A3644 12 500 5000
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -4 -29 0 I
A3644.mat 16x1+24 1000.0(0)/mV 16 0 4 -20 0 II
A3644.mat 16x1+24 1000.0(0)/mV 16 0 8 8 0 III
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -1 48 0 aVR
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -6 -10 0 aVL
A3644.mat 16x1+24 1000.0(0)/mV 16 0 7 -34 0 aVF
A3644.mat 16x1+24 1000.0(0)/mV 16 0 24 -56 0 V1
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -8 -25 0 V2
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -10 22 0 V3
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -66 -20 0 V4
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -46 -65 0 V5
A3644.mat 16x1+24 1000.0(0)/mV 16 0 -33 3 0 V6
# Age: 92
# Sex: Male
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown