Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(719 bytes)
A4354 12 500 16000
A4354.mat 16x1+24 1000.0(0)/mV 16 0 -34 -2117 0 I
A4354.mat 16x1+24 1000.0(0)/mV 16 0 -283 5226 0 II
A4354.mat 16x1+24 1000.0(0)/mV 16 0 -249 7343 0 III
A4354.mat 16x1+24 1000.0(0)/mV 16 0 158 -2028 0 aVR
A4354.mat 16x1+24 1000.0(0)/mV 16 0 107 -3681 0 aVL
A4354.mat 16x1+24 1000.0(0)/mV 16 0 -266 5738 0 aVF
A4354.mat 16x1+24 1000.0(0)/mV 16 0 2082 -6900 0 V1
A4354.mat 16x1+24 1000.0(0)/mV 16 0 1968 -3397 0 V2
A4354.mat 16x1+24 1000.0(0)/mV 16 0 868 4224 0 V3
A4354.mat 16x1+24 1000.0(0)/mV 16 0 -211 1113 0 V4
A4354.mat 16x1+24 1000.0(0)/mV 16 0 -798 -3445 0 V5
A4354.mat 16x1+24 1000.0(0)/mV 16 0 -391 -3566 0 V6
# Age: 69
# Sex: Female
# Dx: 164889003
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown